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期刊論文
  1. J. Fan; T. Liu; Y. Shuang; B. Song; J. Chen; Y. Tan , “Deep Learning Based Binocular Image Analysis for In Situ Measurement of Particle Length Distribution During Crystallization Process” , 2023 , IEEE Transactions on Instrumentation and Measurement , vol.74 , p.4508814-0. (SCI期刊)
  2. W. Shao; X. Li; Y. Yao; J. Chen; D. Zhao , “emi-supervised Local Manifold Regularization Model Based on Dual Representation for Industrial Soft Sensor Development” , 2023 , Chemometrics and Intelligent Laboratory Systems , vol.242 , p.104937-0. (SCI期刊)
  3. Z. Zhang; J. Chen; X. Wu; L. Xie; C.-I. Chen , “A Novel Strategy of Correntropy-based Iterative Neural Networks for Data Reconciliation and Gross Error Estimation in Semiconductor Industry” , 2023 , Journal of Process Control , vol.131 , p.103096-0. (SCI期刊)
  4. M. Ren; Y. Liang; J. Chen; X. Xu; L. Cheng , “Fault Detection for NOx Emission Process in Thermal Power Plants Using SIP-PCA” , 2023 , ISA Transactions , vol.140 , p.46-54. (SCI期刊)
  5. M. Guo; M. Ren; J. Chen; L. Cheng; Z. Yang , “Tracking Photovoltaic Power Output Schedule of the Energy Storage System Based on Reinforcement Learning” , 2023 , Energies , vol.16 , p.5840-0. (SCI期刊)
  6. L. Zhu; M.-Q. Yu; J. Chen , “A Cyber-Physical Monitoring and Diagnosis Scheme of Energy Consumption in Plant-Wide Chemical Processes” , 2023 , Energy Conversion and Management , vol.289 , p.117184-0. (SCI期刊)
  7. P. Sun; J. Chen; L. Xie; H. Su , “Active Design of Dynamic GP Models for Model Predictive Control Using Expected Improvement” , 2023 , The Canadian Journal of Chemical Engineering , vol.101 , p.4301-4796. (SCI期刊)
  8. 8. W. Zhua; Z. Zhang; J. Chen; Y. Liu; T. Xia; A. Armaou; S. Zhao , “Using Dynamic Data Reconciliation to Improve the Performance of PID Feedback Control Systems with Gaussian/non-Gaussian Distributed Disturbance and Measurement Noise” , 2023 , ISA Transactions , vol.137 , p.544-560. (SCI期刊)
  9. J. Fan; T. Liu; Y. Huo; Y. Tan; J. Chen , “In-Situ Measurement of 2D Crystal Size Distribution During Cooling Crystallization Process via a Binocular Telecentric Imaging System” , 2023 , IEEE Transactions on Instrumentation and Measurement , vol.72 , p.5015115-0. (SCI期刊)
  10. S. Gu; J. Chen; Lei Xie , “Batch Process Modeling with Few-shot Learning” , 2023 , Processes , vol.11 , p.1481-0. (SCI期刊)
  11. J. Liu; G. Mu; J. Chen , “Tensor Slow Feature Analysis and Its Applications for Batch Process Monitoring” , 2023 , Computers & Chemical Engineering , vol.173 , p.108207-0. (SCI期刊)
  12. S. Gu; J. Chen; L. Xie , “Automatic Segmentation of Batch Processes into Multi-Local State-Space Models for Fault Detection” , 2023 , Chemical Engineering Science , vol.267 , p.118274-0. (SCI期刊)
  13. J. Liu; G.-Y. Hou; W. Shao; J. Chen , “A Supervised Functional Bayesian Inference Model with Transfer-Learning for Performance Enhancement of Monitoring Target Batches with Limited Data” , 2023 , Process Safety and Environmental Protection , vol.170 , p.670-684. (SCI期刊)
  14. R. Lin; J. Chen; L. Xie; H. Su , “Accelerating Reinforcement Learning with Case-based Model-assisted Experience Augmentation for Process Control” , 2023 , Neural Networks , vol.158 , p.197-215. (SCI期刊)
  15. Y.-S. Lee; J. Chen , “Developing Semi-Supervised Latent Dynamic Variational Autoencoders to Enhance Prediction Performance of Product ” , 2023 , Chemical Engineering Science , vol.265 , p.118192-0. (SCI期刊)
  16. K. Wang; J. Chen; Z. Song; Y. Wang; C. Yang , “Deep Neural Network Embedded Stochastic Nonlinear State-Space Models and their Applications to Process Monitoring” , 2022 , IEEE Trans Neural Netw Learn Syst , vol.33 , p.7682-7694. (SCI期刊)
  17. B. Song; T. Liu; S. Yang; J. Liu; J. Chen , “Data-driven operation modeling and optimal design for batch cooling crystallization with Case Study on β-LGA” , 2022 , Ind. Eng. Chem. Res. , vol.61 , p.19795-18809. (SCI期刊)
  18. G. Mu; J. Chen; J. Liu; W. Shao; D. Zhao , “State Prediction of Distributed Parameter Systems Based on Multi-Source Spatiotemporal Information” , 2022 , J. Process Contr. , vol.119 , p.55-67. (SCI期刊)
  19. Y.-S. Lee; J. Chen, , “Using Source Data to Aid and Build Variational State-Space Autoencoders with Sparse Target Data for Process Monitoring” , 2022 , Neural Networks , vol.154 , p.455-468. (SCI期刊)
  20. G. Mu; T. Liu; J. Chen; J. Zhang; C. Zhong , “Variational PLS based Calibration Model Building with Semi-supervised Learning for Moisture Measurement during Fluidized Bed Drying by NIR Spectroscopy” , 2022 , IEEE Trans. Instrum. Meas. , vol.71 , p.1006713-xxx. (SCI期刊)
  21. X. Wu; N. Zhang; L. Xie; W. Ci; J. Chen; S. Lu , “Thermoeconomic Optimization Design of the ORC System Installed on a Light-Duty Vehicle for Waste Heat Recovery from Exhaust Heat” , 2022 , Energies , vol.15 , p.4486-xxx. (SCI期刊)
  22. J. Liu; D. Sun; Y. Xiao; J. Chen , “Developing Tensor-based Common and Special Feature Analysis for Comprehensive Monitoring of Complex Batch Processes” , 2022 , Ind. Eng. Chem. Res. , vol.61 , p.10156-10171. (SCI期刊)
  23. J. Liu; D. Sun; J. Chen , “Comparative Study on Wavelet Functional Partial Least Squares Soft Sensor for Complex Batch Processes” , 2022 , Chem. Eng. Sci. , vol.254 , p.117601-xxx. (SCI期刊)
  24. M. Ren; W. Zhang; J. Chen; P. Shi; G. Yan , “Performance Assessment for Non-Gaussian Systems by Minimum Entropy Control and Dynamic Data Reconciliation” , 2022 , J. Franklin Inst. , vol.359 , p.3930-3950. (SCI期刊)
  25. L.-X. You; J. Chen, , “AutoGenerated MultiLocal PLS Models without Pre-classified for Quality Monitoring of Nonlinear Processes with Unevenly Distributed Data” , 2022 , Ind. Eng. Chem. Res. , vol.61 , p.5898-5913. (SCI期刊)
  26. Y. Zhang; Y.-S. Lee; H. Lin; J. Chen , “Establishing Convolutional Neural Network Kalman Recurrent Variational Autoencoder Using Infrared Imaging for Process Monitoring: An Application in Spinning Disk Processes” , 2022 , IEEE Trans. Instrum. Meas. , vol.71 , p.5001712-xxx. (SCI期刊)
  27. Mu, T.; J. Chen , “Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling” , 2022 , IEEE Trans. Instrum. Meas. , vol.17 , p.2501008-xxx. (SCI期刊)
  28. Y.-S. Lee; J. Chen , “Augmenting Deviation of Faults from the Normal Using Fault Assistant Gaussian Mixture Prior Variational Autoencoder” , 2022 , J .Taiwan Inst. Chem. Eng. , p.103921-xxx. (SCI期刊)
  29. J. Liu; G.-Y. Hou; J. Che , “A Supervised Functional Modeling Method for Long Durations of Batch Processes with Limited Batch Data” , 2022 , Chem. Eng. Sci. , p.116991-xxx. (SCI期刊)
  30. W. Zhu; Z. Zhang; J. Chen; S. Zhao; S Huang , “Dynamic Data Reconciliation to Enhance the Performance of Feedforward/Feedback Control Systems with Measurement Noise” , 2021 , J. Process Contr. , vol.108 , p.12-24. (SCI期刊)
  31. L. L. T. Chan; J. Chen , “Gaussian Process Model Based Multi-Source Labeled Data Transfer Learning for Reducing Cost of Modeling Target Chemical Processes with Unlabeled Data” , 2021 , Control Eng. Pract, , vol.117 , p.104941-104951. (SCI期刊)
  32. L.-X. You; J. Chen , “A Variable Relevant Multi-Local PCA Modeling Scheme to Monitor a Nonlinear Chemical Process” , 2021 , Chem. Eng. Sci. , vol.246 , p.116851-116861. (SCI期刊)
  33. J. Liu; J. Hou; J. Chen , “Dual-layer Feature Extraction Based Soft Sensor Methods and Applications to Industrial Polyethylene Processes” , 2021 , Comput. Chem. Eng. , vol.154 , p.107469-107479. (SCI期刊)
  34. G. Hu; Z. Zhang; J. Chen; Z. Zhang; A. Armaou , “Elman Neural Networks Combined with Extended Kalman Filters for Data-driven Dynamic Data Reconciliation in Nonlinear Dynamic Process Systems” , 2021 , Ind. Eng. Chem. Res. , vol.60 , p.15219-15235. (SCI期刊)
  35. Q. Chen; J. Chen; X. Lung; L. Xie; N. ur Rehman; H. Su , “Self-tuning Variational Mode Decomposition” , 2021 , J. Franklin Inst. , vol.358 , p.7825-7862. (SCI期刊)
  36. S. K. Ooi; D. Tanny; J. Chen; K. Wang , “Developing Semi-supervised Variational Autoencoder-Generative Adversarial Network Models to Enhance Quality Prediction Performance” , 2021 , Chemometer Intell. Lab. , vol.217 , p.104385-104395. (SCI期刊)
  37. Y. Lyu; J. Chen; Z. Song , “Synthesizing Labeled Data to Enhance Soft Sensor Performance in Data-scarce Regions” , 2021 , Control Eng. Pract. , vol.115 , p.104903-104913. (SCI期刊)
  38. G. Mu; T. Liu; C. Xue; J. Chen , “Semi-Supervised Learning based Calibration Model Building of NIR spectroscopy for In-Situ Measurement of Biochemical Processes under Insufficiently and Inaccurately Labeled Samples” , 2021 , IEEE Trans. Instrum. Meas. , vol.70 , p.2509912-2509922. (SCI期刊)
  39. L. Zhu; Z. Li; J. Chen , “Evaluating and Predicting Energy Efficiency Using Slow Feature Partial Least Squares Method for Large-scale Chemical Plants” , 2021 , Energy , vol.230 , p.120582-120592. (SCI期刊)
  40. X. Wu; J. Chen; L. Xie; Y.-S. Lee; C.-I Chen; H. Su , “Convolutional Neural Networks for Multi-Stage Semiconductor Processes” , 2021 , J. Chem. Eng. Japan , vol.54 , p.449-455. (SCI期刊)
  41. Z. Li; Y.-S. Lee; J. Chen; Y. Qian , “Developing variable moving window PLS models: Using case of NOx emission prediction of coal-fired power plants” , 2021 , Fuel , vol.296 , p.120441-120451. (SCI期刊)
  42. J. Liu; J. Chen; D. Wang , “Global-local Based Wavelet Functional Principal Component Analysis for Fault Detection and Diagnosis in Batch Processes” , 2021 , Chemometer Intell. Lab. , vol.212 , p.104279-104289. (SCI期刊)
  43. J. Liu; J. Chen; D. Wang , “Linear and Exponential Fault-assistant Feature Extraction Methods for Process Monitoring” , 2021 , Control Eng. Pract, , vol.109 , p.104732-104742. (SCI期刊)
  44. K. Wang; X. Yuan; J. Chen; Y. Wang , “Supervised and Semi-supervised Probabilistic Learning with Deep Neural Networks for Concurrent Process-Quality Monitoring” , 2021 , Neural Networks , vol.136 , p.54-62. (SCI期刊)
  45. M. Ren; J. Chen; P. Shi; G. Yan , “Statistical Information Based Two-Layer Model Predictive Control with Dynamic Economy and Control Performance for Non-Gaussian Stochastic Process” , 2021 , J. Franklin Inst. , vol.358 , p.2279-2300. (SCI期刊)
  46. Y. Lyu; J. Chen; Z. Song; Q. Zhang , “Synthesizing Data by Transferring Information in Data-intensive Regions to Enhance Process Monitoring Performance in Data-scarce Region” , 2021 , Can. J. Chem. Eng. , vol.99 , p.S521-S539. (SCI期刊)
  47. Y.-S. Lee; J. Chen , “Enhancing Monitoring Performance of Data Sparse Nonlinear Processes through Information Sharing among Different Grades Using Gaussian Mixture Prior Variational Autoencoders” , 2021 , Chemometer Intell. Lab. , vol.208 , p.104219-104229. (SCI期刊)
  48. J. Liu; T. Liu; J. Chen; H. Yu; F. Zhang; F. Sun , “Data-driven Modelling of Product Crystal Size Distribution and Optimal Input Design for Batch Cooling Crystallization Processes” , 2020 , J. Process Contr. , vol.96 , p.1-14. (SCI期刊)
  49. K. Wang; B. Gopaluni;, J. Chen; Z. Song , “Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction” , 2020 , IEEE Trans. on Industrial Informatics , vol.16 , p.7233-7242. (SCI期刊)
  50. J. Liu; T. Liu; G. Mu; J. Chen , “Wavelet Based Calibration Model Building of NIR Spectroscopy for In-situ Measurement of Granule Moisture Content during Fluidized Bed Drying” , 2020 , Chem. Eng. Sci. , vol.226 , p.115867-???. (SCI期刊)
  51. X. Wu; J. Chen; L. Xie , “Optimal Design of Organic Rankine Cycles for Exhaust Heat Recovery from Light-Duty Vehicles in View of Various Exhaust Gas Conditions and Negative Aspects of Mobile Vehicles” , 2020 , Applied Thermal Engineering , vol.179 , p.115645-???. (SCI期刊)
  52. J. Liu; D. Wang; J. Chen; J. Hou , “Functional Soft Sensor Based on Spectra Data for Predicting Multiple Quality Variables” , 2020 , IEEE Access , vol.8 , p.160355-160362. (SCI期刊)
  53. Z. Hong; L. Xu; J. Chen , “Particle Filter Combined with Data Reconciliation for Nonlinear State Estimation with Unknown Initial Conditions in Nonlinear Dynamic Process Systems” , 2020 , ISA Transactions , vol.103 , p.203-214. (SCI期刊)
  54. Z. Hong; L. Xu; J. Chen , “Artificial Evolution Based Cost-reference Particle Filter for Nonlinear State and Parameter Estimation in Process Systems with Unknown Noise Statistics and Model Parameters” , 2020 , J .Taiwan Inst. Chem. Eng. , vol.112 , p.377-387. (SCI期刊)
  55. J. Liu; D. Wang; J. Chen , “Monitoring Framework Based on Generalized Tensor PCA for 3-Dimensional Batch Process Data” , 2020 , Ind. Eng. Chem. Res. , vol.59 , p.10483-10498. (SCI期刊)
  56. Q. Chen; J. Chen; X. Lang; L. Xie; S. Lu; H. Su , “Detection and Diagnosis of Oscillations in Process Control by Fast Adaptive Chirp Mode Decomposition” , 2020 , Control Eng. Pract. , vol.97 , p.104307-???. (SCI期刊)
  57. K. Wang; J. Chen; L. Xie; H. Su , “Transfer Learning Based on Incorporating Source Knowledge Using Gaussian Process Models for Quick Modeling of Dynamic Target Processes” , 2020 , Chemometer Intell. Lab. , vol.198 , p.103911-??. (SCI期刊)
  58. X. Wu; J. Chen; L. Xie; L. L. T. Chan; C.-I. Chen , “Development of Convolutional Neural Network Based Gaussian Process Regression to Construct a Novel Probabilistic Virtual Metrology in Multi-Stage Semiconductor Processes” , 2020 , Control Eng. Pract. , vol.96 , p.104262-??. (SCI期刊)
  59. Z. Zhang; L. L. T. Chan; J. Chen; Z. Shao , “Correntropy Based Data Reconciliation and Gross Error Detection for Bilinear Systems” , 2020 , Chem. Eng. Sci. , vol.212 , p.115327-???. (SCI期刊)
  60. K. Wang; J. Chen; Z. Song , “A Sparse Loading-based Contribution Method for Multivariate Control Performance Diagnosis” , 2020 , J. Process Contr. , vol.85 , p.199-213. (SCI期刊)
  61. J. Liu; J. Chen; D. Wang , “Wavelet Functional Principal Component Analysis for Batch Process Monitoring” , 2020 , Chemometer Intell. Lab. , vol.196 , p.103897-???. (SCI期刊)
  62. K. Wang; J. Chen; L. Xie; H. Su , “Decision Making Scheme of Integration Design and Control under Uncertainty for Enhancing the Economic Performance of Chemical Processes with Multiplicity Behaviors” , 2019 , Chem. Eng. Res. Des. , vol.150 , p.327-340. (SCI期刊)
  63. Z. Zhang; J. Chen , “Enhancing Performance of Generalized Minimum Variance Control via Dynamic Data Reconciliation” , 2019 , J. Franklin Inst., , vol.356 , p.8829-8854. (SCI期刊)
  64. L. Zhu; J. Chen , “Energy Efficiency Evaluation and Prediction of Large-Scale Chemical Plants Using Partial Least Squares Analysis Integrated with Gaussian Process Models” , 2019 , Energ. Convers. Manage. , vol.195 , p.690-700. (SCI期刊)
  65. X. Wu; J. Chen; L. Xie , “Fast Economic Nonlinear Model Predictive Control Strategy of Organic Rankine Cycle for Waste Heat Recovery: Simulation-Based Studies” , 2019 , Energy , vol.180 , p.520-534. (SCI期刊)
  66. G. Mu; T. Liu; J. Chen; L. Xia; X. Yu , “110th Anniversary: Real-Time End Point Detection of Fluidized Bed Drying Process Based on a Switching Model of Near-Infrared Spectroscopy” , 2019 , Ind. Eng. Chem. Res. , vol.58 , p.16777-16786. (SCI期刊)
  67. K. Wang; J. Chen; Z. Song , “Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems with Measured Disturbances” , 2019 , IEEE Trans. Autom. Sci. Eng. , vol.16 , p.1033-1045. (SCI期刊)
  68. Y. Lyu; J. Chen; Z. Song , “Image-Based Process Monitoring Using Deep Learning Framework” , 2019 , Chemometer Intell. Lab. , vol.189 , p.8-17. (SCI期刊)
  69. K. Wang; J. Chen; Z. Song , “Using Multivariate Pattern Segmentation to Assess Process Performance and Mine Good Operation Conditions for Dynamic Chemical Industry” , 2019 , Chem. Eng. Sci. , vol.201 , p.339-348. (SCI期刊)
  70. K. Wang; L. Rippon; J. Chen; Z. Song; B. Gopaluni , “Data-Driven Dynamic Modeling and Online Monitoring for Multiphase and Multimode Batch Processes with Uneven Batch Durations” , 2019 , Ind. Eng. Chem. Res. , vol.58 , p.13628-13641. (SCI期刊)
  71. L. Zhu; J. Chen , “A Dynamic Approach to Energy Efficiency Estimation in the Large-Scale Chemical Plant” , 2019 , J. Clean. Prod. , vol.212 , p.1072-1085. (SCI期刊)
  72. L. Zhou; J. Chen; J. Jie; Z. Song , “Multiple Probability Principal Component Analysis for Process Monitoring with Multi-Rate Measurements” , 2019 , J .Taiwan Inst. Chem. Eng. , vol.96 , p.18-28. (SCI期刊)
  73. K. Wang; M. G. Forbes; B. Gopaluni; J. Chen; Z. Song , “Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes” , 2019 , IEEE Access , vol.7 , p.22554-22565. (SCI期刊)
  74. C. Wei; J. Chen; Z. Song; C.-I. Chen , “Adaptive Virtual Sensors Using SNPER for the Localized Construction and Elastic Net Regularization in Nonlinear Processes” , 2019 , Control Eng. Pract, , vol.83 , p.129-140. (SCI期刊)
  75. Z. Zhang; J. Chen , “Fault Detection and Diagnosis Based on Particle Filters Combined with Interactive Multiple-Model Estimation in Dynamic Process Systems” , 2019 , ISA Transactions , vol.85 , p.247-261. (SCI期刊)
  76. K. Wang; J. Chen; Z. Song , “Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme” , 2019 , IEEE Trans. Control Syst. Technol. , vol.27 , p.378-385. (SCI期刊)
  77. C. Wei; J. Chen; Z. Song; C.-I. Chen , “Development of Self-Learning Kernel Regression Models for Virtual Sensors on Nonlinear Processes” , 2019 , IEEE Trans. Autom. Sci. Eng. , vol.16 , p.286-297. (SCI期刊)
  78. P. Lu; J. Chen; L. Xie , “Disturbance-Based Alternate Feedback Control Scheme to Enhance Economic Performance of Batch Processes” , 2019 , Ind. Eng. Chem. Res. , vol.58 , p.4143-4153. (SCI期刊)
  79. L. Zhu; J. Chen , “Development of Energy Efficiency Principal Component Analysis Model for Factor Extraction and Efficiency Evaluation in Large-scale Chemical Processes” , 2019 , Int. J. Energy Res. , vol.43 , p.814-828. (SCI期刊)
  80. J. Liu; T. Liu; J. Chen , “Quality Prediction for Multi-grade Processes by Just-in-time Latent Variable Modeling with Integration of Common and Special Features” , 2018 , Chemical Engineering Science , p.31-41. (SCI期刊)
  81. X. Wu; J. Chen; L. Xie , “Integrated Operation Design and Control of Organic Rankine Cycle Systems with Disturbances” , 2018 , Energy , p.115-129. (SCI期刊)
  82. X. Feng; D. Li; J. Chen; M. Niuc; X. Liu; L. L. T. Chan; W. Li , “Kinetic Parameter Estimation and Simulation of Trickle-bed Reactor for Hydrodesulfurization of Whole Fraction Low-Temperature Coal Tar” , 2018 , Fuel , p.113-125. (SCI期刊)
  83. K. Wang; J. Chen; Z. Song , “A New Excitation Scheme for Closed-loop Subspace Identification Using Additional Sampling Outputs and its Extension to Instrumental Variable Method” , 2018 , Journal of the Franklin Institute , p.6675-6692. (SCI期刊)
  84. L. L. T. Chan; J. Chen , “Improving the Energy Cost of an Absorber-Stripper CO2 Capture Process through Economic Model Predictive Control” , 2018 , Journal of Greenhouse Gas Control , p.158-166. (SCI期刊)
  85. L. L. T. Chan; J. Chen , “Economic Model Predictive Control of Distillation Startup Based on Probabilistic Approach” , 2018 , Chemical Engineering Science , p.26-35. (SCI期刊)
  86. C. Wei; J. Chen; Z. Song , “Multi-Level MVU Models with Localized Construction for Monitoring Processes with Large Scale Data” , 2018 , Journal of Process Control , p.176-196. (SCI期刊)
  87. J. Liu, T. Liu, J. Chen; P. Qin , “Novel Common and Special Feature Extraction for Monitoring Multi-Grade Processes” , 2018 , Journal of Process Control , p.98-107. (SCI期刊)
  88. K. Wang; J. Chen; Z. Song , “Fault Diagnosis for Processes with Feedback Control Loops by Shifted Output Sampling Approach” , 2018 , Journal of the Franklin Institute , vol.355 , p.3249-3273. (SCI期刊)
  89. J. Liu; T. Liu; J. Chen , “Sequential Local-based Gaussian Mixture Model for Monitoring Multiphase Batch Processes” , 2018 , Chemical Engineering Science , p.87-103. (SCI期刊)
  90. L. L. T. Chan; X. Wu; J. Chen; L. Xie; C.-I. Chen , “Just-In-Time Modeling with Variable Shrinkage Based on Gaussian Processes for Semiconductor Manufacturing” , 2018 , IEEE Transactions on Semiconductor Manufacturing , vol.31 , p.1-8. (SCI期刊)
  91. L. Zhou; J. Chen; B. Hou; Z. Song , “Multi-Grade Principal Component Analysis for Fault Detection with Multiple Production Grades” , 2018 , Chemometrics and Intelligent Laboratory Systems , p.20-29. (SCI期刊)
  92. L. L. T. Chan; Q.-Y. Wu; J. Chen , “Dynamic Soft Sensors with Active Forward-Update Learning for Selection of Useful Data from Historical Big Database” , 2018 , Chemometrics and Intelligent Laboratory Systems , p.87-103. (SCI期刊)
  93. L. Zhu; J. Chen , “Prognostics of PEM Fuel Cells Based on Gaussian Process State Space Models” , 2018 , Energy , p.63-73. (SCI期刊)
  94. P. Lu; J. Chen; L. Xie , “ILC Based Economic Optimization for Batch Processes Using Helpful Disturbance Information” , 2018 , Industrial & Engineering Chemistry Research , vol.57 , p.3717-3731. (SCI期刊)
  95. L. L. T. Chan; J. Chen , “Probabilistic Uncertainty Based Simultaneous Process Design and Control with Iterative Expected Improvement Model” , 2017 , Comput. Chem. Eng. , vol.106 , p.609-620. (SCI期刊)
  96. L. L. T. Chan; C.-P. Chou; J. Chen , “Hybrid Model Based Expected Improvement Control for Cyclical Operation of Membrane Microfiltration Processes” , 2017 , Chem. Eng. Sci. , vol.166 , p.77-90. (SCI期刊)
  97. Y. Liu; Y. Fan; J. Chen , “Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN” , 2017 , Energy & Fuels , vol.31 , p.8776-8783. (SCI期刊)
  98. W. Kai; J. Chen; Z. Song , “Data-Driven Sensor Fault Diagnosis Systems for Linear Feedback Control Loops” , 2017 , J. Process Contr. , vol.54 , p.152-171. (SCI期刊)
  99. L. Jiang; Z. Song; Z. Ge; J. Chen , “Robust Self-supervised Model and Its Application for Fault Detection” , 2017 , Ind. Eng. Chem. Res. , vol.56 , p.7503-7515. (SCI期刊)
  100. L. L. T. Chan; J. Chen , “Melt Index Prediction with a Mixture of Gaussian Process Regression with Embedded Clustering and Variable Selections” , 2017 , Journal of Applied Polymer Science , vol.134 , p.45237-45247. (SCI期刊)
  101. Z. Zhang; Y.-Y. Chuang; J. Chen , “Using Clustering Based Logical Equation Set to Decompose Large Scale Chemical Processes for Parallel Solving Data Reconciliation and Parameter Estimation Problem” , 2017 , Chem. Eng. Res. Des. , vol.120 , p.396-409. (SCI期刊)
  102. J. Chen; S.-W. Gu , “Development of LTV Subspace System Identification Using Basis Functions Approach to Assessing the Performance of Control Loops for Nonlinear Processes” , 2017 , J .Taiwan Inst. Chem. Eng. , vol.73 , p.152-171. (SCI期刊)
  103. Z. Zhua; Z. Meng; Z. Zhang; J. Chen; Y. Daib , “Robust Particle Filter for State Estimations Using Measurements with Different Types of Gross Errors” , 2017 , ISA Transactions , vol.69 , p.281-295. (SCI期刊)
  104. Z. Yan; J. Chen; Z. Zhang , “Using Hidden Markov Model to Identify Oscillation Temporal Pattern for Control Loops” , 2017 , Chem. Eng. Res. Des. , vol.119 , p.117-129. (SCI期刊)
  105. J. Zhang; M. Lin; J. Chen; J. Xu; K. Li , “PLS-based multi-loop robust H2 control for improvement of operating efficiency of waste heat energy conversion systems with organic Rankine cycle” , 2017 , Energy , vol.123 , p.460-472. (SCI期刊)
  106. Y. Liu; Q.-Y. Wu,; J. Chen , “Active Selection of Informative Data for Sequential Quality Enhancement of Soft Sensor Models with Latent Variables” , 2017 , Ind. Eng. Chem. Res. , vol.56 , p.4804-4817. (SCI期刊)
  107. L. Zhou; J. Chen; L. Yao; Z. Song; B. Hou , “Similarity Based Robust Probability Latent Variable Regression Model and its Kernel Extension for Process Monitoring” , 2017 , Chemometer Intell. Lab. , vol.161 , p.88-95. (SCI期刊)
  108. L. Xie; X. Cai; J. Chen; H. Su , “GA Based Decomposition of Large Scale Distributed Model Predictive Control System” , 2016 , Control Engineering Practice , vol.57 , p.111-125. (SCI期刊)
  109. C. Wei, J. Chen; Z. Song , “Developments of Two Supervised Maximum Variance Unfolding Algorithms for Process Classification” , 2016 , Chemometer Intell Lab. , vol.159 , p.31-44. (SCI期刊)
  110. Y. Liu; C.-P. Chou; J. Chen; J.-Y. Lai , “Active Learning Assisted Strategy of Constructing Hybrid Models in Repetitive Operations of Membrane Filtration Processes: Using Case of Mixture of Bentonite Clay and Sodium Alginatel” , 2016 , J. Membr. Sci. , vol.515 , p.245-257. (SCI期刊)
  111. Z. Zhang; J. Chen , “Dynamic Data Reconciliation for Enhancing Performance of Minimum Variance Control in Univariate and Multivariate Systems” , 2016 , Ind. Eng. Chem. Res. , vol.55 , p.10990-11002. (SCI期刊)
  112. L. Xie; X. Lang; J. Chen; A. Horch; H. Su , “Time-varying Oscillation Detector Based on Improved LMD and Robust Lempel-Ziv Complexity” , 2016 , Control Engineering Practice , vol.51 , p.48-57. (SCI期刊)
  113. L. L. T. Chan; T. Chen; J. Chen , “PID Based Nonlinear Processes Control Model Uncertainty Improvement by Using Gaussian Process Model” , 2016 , J. Process Contr. , vol.42 , p.77-89. (SCI期刊)
  114. M. Ren; T. Cheng; J. Chen; X. Xu; L. Cheng , “Single Neuron Stochastic Predictive PID Control Algorithm for Nonlinear and Non-Gaussian Systems Using the Survival Information Potential Criterion” , 2016 , Entropy , vol.18 , p.218-0. (SCI期刊)
  115. Z. Yan; J. Chen , “Enhancing Quality of Statistic Monitoring Models by Training Set Design with Active Learning Approach” , 2016 , Chemometer Intell Lab. , vol.151 , p.201-218. (SCI期刊)
  116. Z.-Q. Ge; J. Chen , “Plant-wide industrial process monitoring: A distributed modeling framework” , 2016 , IEEE Trans. Ind. Informat. , vol.12 , p.310-321. (SCI期刊)
  117. J. Zhang; L.-Y. Zhang; J. Chen; J. Xu; K. Li , “Performance Assessment of Cascade Control Loops with Non-Gaussian Disturbances Using Entropy Information” , 2015 , Chem. Eng. Res. Des. , vol.104 , p.68-90. (SCI期刊)
  118. Y. Liu; Z. Zhang; J. Chen , “Ensemble Local Kernel Learning for Online Prediction of Distributed Product Outputs in Chemical Processes” , 2015 , Chem. Eng. Sci. , vol.137 , p.140-151. (SCI期刊)
  119. J. Zheng; M.-M. Lin; J. Chen; K. Li; J. Xu , “Multiloop Robust H_infinity Control Design Based on the Dynamic PLS Approach to Chemical Processes” , 2015 , Chem. Eng. Res. Des. , vol.100 , p.518-529. (SCI期刊)
  120. Z. Zhang; S. Shao; J. Chen , “Programming Strategies of Sequential Incremental-Scale Subproblems for Large Scale Data Reconciliation and Parameter Estimation with Multi-Operational Conditions” , 2015 , Ind. Eng. Chem. Res. , vol.54 , p.5697-5709. (SCI期刊)
  121. Y. Liu; T. Chen; J. Chen , “Auto-Switch Gaussian Process Regression-Based Probabilistic Soft Sensors for Industrial Multigrade Processes with Transitions” , 2015 , Ind. Eng. Chem. Res. , vol.54 , p.5037-5047. (SCI期刊)
  122. Z. Zhang; J. Chen , “Correntropy Based Data Reconciliation and Gross Error Detection and Identification for Nonlinear Dynamic Processes” , 2015 , Comput. Chem. Eng. , vol.75 , p.120-134. (SCI期刊)
  123. P.-P. Oh; M.-F. Chong; H. L. N. Lau; Y.-M. Choo; J. Chen , “Modelling of a Membrane Reactor System For Crude Palm Oil Transesterification. Part I: Chemical And Phase Equilibrium” , 2015 , AIChE Journal , vol.61 , p.1968-1980. (SCI期刊)
  124. P.-P. Oh; M.-F. Chong; H. L. N. Lau; Y.-M. Choo; J. Chen , “Modelling of a Membrane Reactor System for Crude Palm Oil Transesterification. Part II: Transport Phenomena” , 2015 , AIChE Journal , vol.61 , p.1981-1996. (SCI期刊)
  125. L. Zhou; J. Chen; Z. Song; Z. Ge , “Semi-supervised PLVR Models for Process Monitoring with Unequal Sample Sizes of Process Variables and Quality Variables” , 2015 , J. Process Contr. , vol.26 , p.1-16. (SCI期刊)
  126. P. Sun; J. Chen; L. Xie , “Self-Active and Recursively Selective Gaussian Process Models for Nonlinear Distributed Parameter Systems” , 2015 , Chem. Eng. Sci. , vol.123 , p.125-136. (SCI期刊)
  127. X. Cai; P. Sun; J. Chen; L. Xie , “ILC Strategy for Progress Improvement of Economic Performance in Industrial Model Predictive Control Systems” , 2014 , J. Process Contr. , vol.24 , p.107-118. (SCI期刊)
  128. T. Liu; X. Z. Wang; J. Chen , “Robust PID based indirect-type iterative learning control for batch processes with time-varying uncertainties” , 2014 , J. Process Contr. , vol.24 , p.95-106. (SCI期刊)
  129. J. Zhang; M. Jiang; J. Chen , “Minimum Entropy-Based Performance Assessment of Feedback Control Loops Subjected to Non-Gaussian Disturbances” , 2014 , J. Process Contr. , vol.24 , p.1660-1670. (SCI期刊)
  130. J. Chen; J.-Y. Huang , “Texture Analysis of UTDR Images for Enhancement of Monitoring and Diagnosis of Membrane Filtration” , 2014 , Chemometer Intell Lab. , vol.138 , p.142-152. (SCI期刊)
  131. Z. Zhang; Y.-Y. Chuang; J. Chen , “Methodology of Data Reconciliation and Parameter Estimation for Process Systems with Multi-Operating Conditions” , 2014 , Chemometer Intell Lab. , vol.137 , p.110-119. (SCI期刊)
  132. Z. Zhang; J. Chen , “Simultaneous Data Reconciliation and Gross Error Detection for Dynamic Systems Using Particle Filter and Measurement Test” , 2014 , Comput. Chem. Eng. , vol.69 , p.66-74. (SCI期刊)
  133. L. Zhou; J. Chen; Z. Song; Z. Ge; A. Miao , “Probabilistic Latent Variable Regression Model for Process-Quality Monitoring” , 2014 , Chem. Eng. Sci. , vol.116 , p.296-305. (SCI期刊)
  134. X. Cai; P. Sun; J. Chen; L. Xie , “Rapid Distributed Model Predictive Control Design Using Singular Value Decomposition for Linear Systems” , 2014 , J. Process Contr. , vol.24 , p.1135-1148. (SCI期刊)
  135. Z. Zhang; Y.-Y. Chuang; J. Chen , “Pervasive Knowledge Discovery by Just-in-time Learning to Solve Simultaneous Data Reconciliation and Parameter Estimation of Industrial Processes” , 2014 , Ind. Eng. Chem. Res. , vol.53 , p.10194-10205. (SCI期刊)
  136. Y. Liu; J. Chen , “Correntropy Kernel Learning for Nonlinear System Identification with Outliers” , 2014 , Ind. Eng. Chem. Res. , vol.53 , p.5248-5260. (SCI期刊)
  137. J. Chen; F. Wang , “Cost Reduction of CO2 Capture Processes Using Reinforcement Learning Based Iterative Design: A pilot-scale absorption-stripping system” , 2014 , Sep. Purif. Technol. , vol.122 , p.149-158. (SCI期刊)
  138. L.-H. Cheng; S.-Y. Yen; Z.-H. Chen; J. Chen , “Modeling and Simulation of Biodiesel Production Using a Membrane Reactor Integrated with a Pre-reactor” , 2012 , Chemical Engineering Science , vol.69 , p.81-92. (SCI期刊)
  139. P.-P. Oh; H. L. N. Lau; J. Chen; M.-F. Chong; Y. M. Choo , “A review on conventional technologies and emerging process intensification (PI) methods for biodiesel production” , 2012 , Renewable and Sustainable Energy Reviews , vol.16 , p.5131-5145. (SCI期刊)
  140. J. Chen; Y.-C. Yang; T.-S. Wei , “Application of Wavelet Analysis and Decision Tree in UTDR Data for Diagnosis of Membrane Filtration” , 2012 , Chemometrics and Intelligent Laboratory System , vol.116 , p.102-111. (SCI期刊)
  141. J. Chen; Y.-H. Chang; Y.-C. Cheng; C.-K. Hsu , “Design of Image-Based Control Loops for Industrial Combustion Processes” , 2012 , Applied Energy , vol.94 , p.13-21. (SCI期刊)
  142. J. Chen; Y.-H. Liu , “Multi-Batch Model Predictive Control for Repetitive Batch Operation with Input-Output Linearization” , 2012 , Industrial & Engineering Chemistry Research , vol.51 , p.9598-9608. (SCI期刊)
  143. Y. Lu; J. Chen , “Integration Design of Heat Exchanger Networks into Membrane Distillation Systems to Save Energy” , 2012 , Industrial & Engineering Chemistry Research , vol.51 , p.6798-6810. (SCI期刊)
  144. J. C. Munoz; J. Chen , “Removal of the Effects of Outliers in Batch Process Data through Maximum Correntropy Estimator” , 2012 , Chemometrics and Intelligent Laboratory System , vol.111 , p.53-58. (SCI期刊)
  145. J. Chen; J. Munoz; N. Cheng , “Deterministic and Stochastic Model Based Run-to-Run Control for Batch Processes with Measurement Delays of Uncertain Duration” , 2012 , Journal of Process Control , vol.22 , p.508-517. (SCI期刊)
  146. Y. Lu; J. Chen , “Optimal Design of Multi-Stage Membrane Distillation Systems for Water Purification” , 2011 , Ind. Eng. Chem. Res. , vol.50 , p.7345-7354. (SCI期刊)
  147. Y. Lu; J. Chen, T.-C. Liu and M.-H, Chien , “Using Cooling Load Forecast as the Optimal Operation Scheme for a Large Multi-Chiller System” , 2011 , Int. J. of Refrigeration , vol.34 , p.2050-2062. (SCI期刊)
  148. J. Chen; T.-Y.; Hsu, C.-C. Chen; Y.-C. Cheng , “On-Line Predictive Monitoring Using Dynamic Imaging of Furnaces with the Combinational Method of MPCA and HMM” , 2011 , Ind. Eng. Chem. Res. , vol.50 , p.2946-2958. (SCI期刊)
  149. J. Chen; Y.-C. Jiang , “Development of Hidden Semi-Markov Models for Diagnosis of Multiphase Batch Operation” , 2011 , Chem. Eng. Sci. , vol.66 , p.1087-1099. (SCI期刊)
  150. L.-H. Cheng; Y.-C. Yang; J. Chen; Y.-H. Lin; S.-H. Wang , “A New View of Membrane Fouling with 3D Ultrasonic Imaging Techniques: Taking the Canola Oil with Phospholipids for Example” , 2011 , J. Membr. Sci. , vol.372 , p.134-144.
  151. J. Chen; Y.-C. Jiang , “Hidden Semi-Markov Probability Models for Monitoring Two-Dimensional Batch Operation” , 2011 , Ind. Eng. Chem. Res. , vol.50 , p.3345-3355. (SCI期刊)
  152. J. Chen; K.-Y. Liu; J. Munoz , “Context-KSVM-PLS Based Run-to-Run Control for Nonlinear MIMO Processes” , 2011 , Int. J. Innov. Comput. , vol.7 , p.4139-4148. (SCI期刊)
  153. L.-H. Cheng; Y.-H. Lin; J. Chen , “Enhanced Air Gap Membrane Desalination by Novel Finned Tubular Membrane Modules” , 2011 , J. Membr. Sci. , vol.378 , p.398-406. (SCI期刊)
  154. J. Chen; W.-Y. Wang , “Performance Monitoring of MPCA Based Control for Multivariable Batch Control Processes” , 2010 , J. Taiwan Inst. Chem. Eng , vol.41 , p.465-474. (SCI期刊)
  155. J. Chen; M.-H. Chen; L. L. T. Chan , “Iterative Learning Parameter Estimation and Design of SMB Processes” , 2010 , Chemical Engineering Journal , vol.161 , p.223-233. (SCI期刊)
  156. L.-H. Cheng; S.-Y. Yen; L.-S. Su; J. Chen , “Study on Membrane Reactors for Biodiesel Production by Phase Behaviors of Canola Oil Methanolysis in Batch Reactors” , 2010 , Bioresource Technology , vol.101 , p.6663-6668. (SCI期刊)
  157. J. Chen; K.-T. Hsieh; L. L. T. Chan , “Wave Propagation Velocities in Integrated PLS Based Control of a Simulated Moving Bed Process” , 2010 , Chem. Eng. Sci. , vol.56 , p.2990-3000. (SCI期刊)
  158. J. Chen; K.-Y. Liu; J. Munoz , “Context-KSVM Based Run-to-Run Control for Nonlinear Processes” , 2010 , Korean J. Chem. Eng. , vol.27 , p.1366-1371. (SCI期刊)
  159. J. Chen; C.-M. Song; T.-Y. Hsu , “Online Monitoring of Batch Processes Using IOHMM Based MPLS” , 2010 , Ind. Eng. Chem. Res. , vol.49 , p.2800-2811. (SCI期刊)
  160. J. Chen; W.-Y. Wang , “PCA-ARMA Based Control Charts for Performance Monitoring of Multivariable Feedback Control” , 2010 , Ind. Eng. Chem. Res. , vol.49 , p.2228-2241. (SCI期刊)
  161. J. Chen; T.-Y. Hsu; C.-C. Chen; Y.-C. Cheng , “Monitoring Combustion Systems Using HMM Probabilistic Reasoning in Dynamic Flame Images” , 2010 , Applied Energy , vol.87 , p.2169-2179. (SCI期刊)
  162. J. Chen; C.-J. Hsu; C.-C. Chen , “A Self-Growing Hidden Markov Tree for Wafer Map Inspection” , 2009 , J. Process Contr. , vol.19 , p.261-271. (SCI期刊)
  163. J. Chen; K.-T. Hsieh; L. L. T. Chan , “PLS Data-Driven Based Approach to Design of a Simulated Moving Bed Process” , 2009 , Sep. Purif. Technol. , vol.65 , p.173-183. (SCI期刊)
  164. L.-H. Cheng; P.-C. Wu; J. Chen , “Numerical Simulation and Optimal Design of AGMD-Based Hollow Fiber Modules for Desalination” , 2009 , Ind. Eng. Chem. Res. , vol.48 , p.4948-4959. (SCI期刊)
  165. L.-H. Cheng; Y.-F. Cheng; S.-Y. Yen; J. Chen , “Ultrafiltration of Triglyceride from Biodiesel Using the Phase Diagram of Oil-FAME-MeOH” , 2009 , J. Membr. Sci. , vol.330 , p.156-165. (SCI期刊)
  166. J. Chen; C.-K. Kong , “Performance Assessment for Iterative Learning Control of Batch Units” , 2009 , J. Process Contr. , vol.19 , p.1043-1053. (SCI期刊)
  167. J. Chen; R.-K. Tsai , “Development of MBPLS Based Control for Serial Operation Processes” , 2009 , Korean J. Chem. Eng. , vol.26 , p.935-945. (SCI期刊)
  168. J. Zhang; C.-C. Chu; J. Munoz; J. Chen , “Minimum Entropy Based Run-to-Run Control for Semiconductor Processes with Uncertain Metrology Delay” , 2009 , J. Process Contr. , vol.19 , p.1688-1697. (SCI期刊)
  169. L.-H. Cheng; Y.-F. Cheng; S.-Y. Yen; J. Chen , “Application of UNIQUAC and SVM to Ultrafiltration for Modeling Ternary Mixtures of Oil, FAME and Methanol” , 2009 , Chem. Eng. Sci. , vol.64 , p.5093-5103. (SCI期刊)
  170. J. Chen; K.-T. Chou , “Iterative Learning Controller Synthesis Using FIR Models for Batch Processes” , 2009 , Korean J. Chem. Eng. , vol.26 , p.1512-1518. (SCI期刊)
  171. J. Chen and K.-C. Lin , “Integrated Batch-to-Batch Control and within-Batch On-Line Control for Batch Processes Using Two-Step MPLS-Based Model Structures” , 2008 , Ind. Eng. Chem. Res. , vol.47 , p.8693-8703. (SCI期刊)
  172. L.-H. Cheng; P.-C. Wu; C.-K. Kong; J. Chen , “Spatial Variations of DCMD Performance for Desalination through Countercurrent Hollow Fiber Modules” , 2008 , Desalination , vol.234 , p.323-334. (SCI期刊)
  173. L.-H. Cheng; P.-C. Wu; J. Chen , “Modeling and Optimization of Hollow Fiber DCMD Module for Desalination” , 2008 , J. Membr. Sci. , vol.318 , p.154-166. (SCI期刊)
  174. J. Chen; K.-C. Lin , “Batch-to-Batch Iterative Learning Control and within-Batch On-Line Control for End-Point Qualities Using MPLS Based dEWMA” , 2008 , Chem. Eng. Sci. , vol.63 , p.977-990. (SCI期刊)
  175. L.-H. Cheng; Y.-F. Cheng; J. Chen , “Predicting Effect of Interparticle Interactions on Permeate Flux Decline in CMF of Colloidal Suspensions: An Overlapped Type of Local Neural Network” , 2008 , J. Membr. Sci. , vol.308 , p.54-65. (SCI期刊)
  176. J. Chen, Y. Yea , “Controlled Output Variance Based Diagnosis Tree for Feedforward/Feedback Control Systems” , 2007 , Chem. Eng. Sci. , vol.62 , p.943-956. (SCI期刊)
  177. J. Chen; K.-C. Lin; C.-K. Kong , “Application of the Batch-to-Batch and Within-Batch Iterative Optimal Design Strategy for Pervaporation Processes” , 2007 , Sep. Purif. Technol , vol.55 , p.265-273. (SCI期刊)
  178. J. Chen; C.-K. Kong , “Controlled Output Variance Based Diagnosis Tree for Feedforward/Cascade Control Systems” , 2007 , Korean J. Chem. Eng. , vol.24 , p.379-390. (SCI期刊)
  179. J. Chen; C.-J. Hsu; Y.-C. Jiang; M.-W. Lee , “Self-Growing Hidden Markov Tree Based Multiway Principle Component Analysis for Enhanced Monitoring of Batch Processes” , 2007 , Ind. Eng. Chem. Res. , vol.46 , p.6010-6024. (SCI期刊)
  180. J. Chen; F. Wang , “PLS Based dEWMA Run-to-Run Controller for MIMO Non-Squared Semiconductor Processes” , 2007 , J. Process Contr. , vol.17 , p.309-319. (SCI期刊)
  181. Chen, J., K.-P. Wang, J.-Y. Houng, C.-H. Liao , “Sequential Design of pH Profiles for Asymmetric Bioreduction of Ethyl 4-Chloro-3-Oxobutyrate Using a New Experimental Design Method” , 2006 , Enzyme Microb. Technol , vol.38 , p.689-696. (SCI期刊)
  182. J. Chen, H.-H. Chen , “On-Line Batch Process Monitoring Using MHMT Based MPCA” , 2006 , Chem. Eng. Sci. , vol.61 , p.3223-3239. (SCI期刊)
  183. J. Chen, H. Chang, S.-R. Chen , “Simulation Study of a Hybrid Absorber– Heat Exchanger Using Hollow Fiber Membrane Module for the Ammonia-Water Absorption Cycle” , 2006 , Int. J. of Refrigeration , vol.29 , p.1043-1052. (SCI期刊)
  184. H. Chang, J. Chen, Y.-P. Ho, , “Batch Process Monitoring by Wavelet Transform Based Fractal Encoding” , 2006 , Ind. Eng. Chem. Res. , vol.45 , p.3864-3879. (SCI期刊)
  185. J. Chen, Y. Yea, C.-K. Kong , “Diagnosis of Cascade Control Loop Status Using Performance Analysis Based Approach” , 2006 , Ind. Eng. Chem. Res. , vol.45 , p.7540-7551.
  186. Chen, J., S.-C. Huang , Y. Yea , “Achievable Performance Assessment and Design for Parallel Cascade Control Systems” , 2005 , J. Chem. Eng. Jpn. , vol.38 , p.181-201. (SCI期刊)
  187. Yea, Y. , J. Chen , “Diagnosis of Closed Control Loop Status Using Performance Analysis Based Approach” , 2005 , Ind. Eng. Chem. Res. , vol.44 , p.5660-5671. (SCI期刊)
  188. Chen J., W.-J. Chang , “Applying Wavelet-Based Hidden Markov Tree to Enhancing Performance of Process Monitoring” , 2005 , Chem. Eng. Sci. , vol.60 , p.5129-5143. (SCI期刊)
  189. Chen, J., Y.-C. Chang, Y. Yea , “Multiloop PID Controller Design Using PLS Decoupling Structure” , 2005 , Korean J. Chem. Eng. , vol.22 , p.173-183. (SCI期刊)
  190. Chen, J., K.-P. Wang, M.-T. Liang , “Predictions of Heat Transfer Coefficients of Supercritical Carbon Dioxide Using the Overlapped Type of Local Neural Network” , 2005 , Int. J. Heat Mass Transf. , vol.48 , p.2483-2492. (SCI期刊)
  191. Chen, J.H., Y.-C. Chang , “Applying Partial least squares-Based Decomposition Structure to Multi-Loop Adaptive PID Controllers in Nonlinear Processes” , 2004 , Industrial & Engineering Chemistry Research , vol.43 , p.5888-5898. (SCI期刊)
  192. Chen, J.H., K.-P. Wang , “Sequential Experimental Design Strategy for Optimal Batch Profiles Using Hybrid Function Approximations” , 2004 , Industrial & Engineering Chemistry Research , vol.43 , p.5260-5274. (SCI期刊)
  193. Chen, J.H., T.-C. Huang , “Applying Neural Networks to On-line Updated PID Controllers for Nonlinear Process Control” , 2004 , Journal of Process Control , vol.14 , p.211-230. (SCI期刊)
  194. Chen, J.H., J.-H. Yen , “Three-Way Data Analysis with Time Lagged Window for On-Line Batch Process Monitoring” , 2003 , Korean J. Chem. Eng , vol.20 , p.1000-1011. (SCI期刊)
  195. Chen, J.H., Y. Yea , “Design Pole Placement Controller Using Linearized Neural Networks for MISO Systems” , 2003 , J. Chem. Eng. Jap. , vol.36 , p.1005-1011. (SCI期刊)
  196. Chen, J.H., R.-G. Sheui , “Optimal Batch Trajectory Design Based on an Intelligent Data-Driven Method” , 2003 , Industrial & Engineering Chemistry Research , vol.42 , p.1363-1378. (SCI期刊)
  197. Chen, J.H. , Y. Yea , “Modified QDMC Based on Instantaneous Linearization of Neural Network Models in Nonlinear Chemical Processes” , 2003 , J. Chem. Eng. Jap , vol.36 , p.198-209. (SCI期刊)
  198. Chen, J.H., C-M. Liao , “Dynamic Process Fault Monitoring Based on Neural Network and PCA” , 2002 , J. of Proc. Cont. , vol.12 , p.277-289. (SCI期刊)
  199. Chen, J.H., Y. Yea, C.-W. Wang , “Neural Network Model Predictive Control for Nonlinear MIMO Processes with Unmeasured Disturbances” , 2002 , Journal of Chemical Engineering of Japan , vol.35 , p.150-159. (SCI期刊)
  200. Chen, J.H., K.-P. Wang, J.-Y. Houng and S.-L. Lee , “Design of pH Profile for Asymmetric Bioreduction of Ethyl 4-Chloro Acetoacetate on the Basis of a Data-Driven Method” , 2002 , Biotechnology Progress , vol.18 , p.1414-1422. (SCI期刊)
  201. Chen, J.H., Y. Yea , “Neural Network-Based Predictive Control for Multivariable Processes” , 2002 , Chem. Eng. Comm. , vol.189 , p.865-894. (SCI期刊)
  202. Chen, J.H., R.-G. Sheui , “Using Taguchi's Method and Orthogonal Function Approximation to Design Optimal Manipulated Trajectory in Batch Processes” , 2002 , Industrial & Engineering Chemistry Research , vol.41 , p.2226-2237. (SCI期刊)
  203. Chen, J.H., K.-C. Liu , “On-Line Batch Process Monitoring Using Dynamic PCA and Dynamic PLS Models” , 2002 , Chemical Engineering Science , vol.57 , p.63-75. (SCI期刊)
  204. Chen, J. H. , J. Liu , “Derivation of Function Space Analysis Based PCA Control Charts for Batch Process Monitoring (SCI)” , 2001 , Chemical Engineering Science , vol.56 , p.3289-3304. (SCI期刊)
  205. Chen, J.H., C.-M. Liao, F. R. J. Lin, M.-J. Lu , “Principle Comonent analysis Based Control Charts with Memory Effect for Process Monitoring (SCI)” , 2001 , Industrial & Engineering Chemistry Research , vol.40 , p.1516-1527. (SCI期刊)
  206. J. H.Chen and J. Liu , “Post Analysis on Different Operating Time Processes Using Orthonormal Function Approximation and Multiway Principal Component Analysis ” , 2000 , J. Proc. Cont. , vol.10 , p.411-418. (SCI期刊)
  207. 陳榮輝 , “發展PCA類神經網路於錯誤診斷” , 2000 , 工程科技通訊 , vol.0 , p.49-52.
  208. J. HChen and J. Liu , “Using Mixture PCA Networks to Extract Fuzzy Rules from Data” , 2000 , Industrial & Engineering Chemistry Research , vol.39 , p.2355-2367. (SCI期刊)
  209. Junghui Chen,Paul Po-Tao Chu,David ShanHill Wong,Shi-Shang Jang , “Optimal Design Using Neural Network and Information Analysis in Plasma Etching (SCI)” , 1999 , J.Vac.Sci.Technol.B , vol.17 (SCI期刊)
  210. Junghui Chen,Shi-Shang Jang,David ShanHill Wong,Chen-Chi M. Ma.,Jia -Min Lin , “Optimal Design of Filament Winding Using Neural Network Experimental Design Scheme (SCI)” , 1999 , JournalofCompositeMaterials , vol.33 (SCI期刊)
  211. Junghui Chen,Jialin Liu , “Mixture Principal Component Analysis Models for Process Monitoring (SCI)” , 1999 , Industrial & Engineering Chemistry Research , vol.38 , p.1478-1488. (SCI期刊)
  212. Chen J.H. , D. S. H. Wong , S. S. Jang , S. L. Yang , “Product and Process Development Using Artificial Neural Network Model and Information Theory (SCI)” , 1998 , AIChEJ. , vol.44 , p.876-887. (SCI期刊)
  213. Chen J. H. , “Systematic Derivations of Model Predictive Control Based on Artificial Neural Network (SCI)” , 1998 , Chem. Eng. Comm. , vol.164 , p.35-39. (SCI期刊)
  214. 陳榮輝 , 劉佳霖 , “應用化學計量於程序監督與預測” , 1998 , 化工期刊(The Chin. I. Ch. E.) , vol.45 , p.28-36.
研討會論文
  1. Y.-S. Lee; S.-K. Ooi; J. Chen , “A Novel Multi-Step Prediction Model for Process Monitoring” , 2023 , he 2023 6th International Symposium on Advanced Intelligent Informatics , 2023 /9 /21 ~ 2023 /9 /22 , Republic of Indonesia .
  2. M. Yu; Y.-S. Lee; J. Chen , “Fault Diagnosis Based SDG Transfer for Zero-Sample Fault Symptom” , 2023 , the 2023 6th International Symposium on Advanced Intelligent Informatics , 2023 /9 /21 ~ 2023 /9 /22 , Republic of Indonesia .
  3. Lee Yi Shan; Junghui Chen , “Quality Prediction for Nonlinear Dynamic Processes Using Semi-Supervised Soft-sensors: An Application to Ammonia Decarburization Processes” , 2022 , 7th International Symposium on Advanced Control of Industrial Processes , 2022 /8 /7 ~ 2022 /8 /9 , Canada .
  4. Y.-S. Lee; J. Chen , “Enhancing Monitoring Performance of Pharmaceutical Processes Using Dual-Attention Latent Dynamic Conditional State-Space Model” , 2022 , 13th Asian Control Conference (ASCC 2022) , 2022 /5 /4 ~ 2022 /5 /7 , Republic of Korea .
  5. J. Liu; G. Mu; J. Chen , “Tensor Slow Feature Analysis for Monitoring Batch Process” , 2022 , 13th Asian Control Conference (ASCC 2022) , 2022 /5 /4 ~ 2022 /5 /7 , Republic of Korea .
  6. Y.-S. Lee; O. S. Kit; D. Tanny; J. Chen , “Maintaining Soft-Sensor Models Using Latent Dynamic Variational Autoencoders” , 2021 , 11th International Symposium on Advanced Control of Chemical Processes (ADCHEM) , 2021 /6 /13 ~ 2021 /6 /16 , Italian Republic .
  7. K. Wang; J. Chen; Z. Song , “Fault Detection Based on Variational Autoencoders for Complex Nonlinear Processes” , 2019 , 12th Asian Control Conference , 2019 /6 /9 ~ 2019 /6 /12 , Japan .
  8. L. L. T. Chan; J. Chen , “Reducing Cost of Process Modeling through Multi-source Data Transfer Learning” , 2019 , 12th Asian Control Conference , 2019 /6 /9 ~ 2019 /6 /12 , Japan .
  9. K. Wang; J. Chen; L. Xie; H. Su , “A New Optimization Frame Work of Integration Design and Control Using Gaussian Model under Uncertainty” , 2019 , 8th The International Symposium on Design, Operation & Control of Chemical Processes , 2019 /1 /13 ~ 2019 /1 /16 , Thailand .
  10. P. Lu; J. Chen; L. Xie; H. Su , “A Robust Integrated Economic Optimization for Batch Processes Using Disturbances Based Dual-Feedback Control” , 2019 , 8th The International Symposium on Design, Operation & Control of Chemical Processes , 2019 /1 /13 ~ 2019 /1 /16 , Thailand .
  11. Y.-S. Lee; O.-S. Kit; D. Tanny; L. L. T. Chan; J. Chen , “Reducing Energy Cost of Absorber-Stripper CO2 Capture Process through Economic Neural Network Model Predictive Control” , 2018 , 6th International Symposium on Process Intensification , 2018 /11 /7 ~ 2018 /11 /8 , 中華民國 台灣 .
  12. L. L. T. Chan; Y.-S. Lee; J. Chen , “Economic Model Predictive Control of CO2 Capture Process Retrofitted with Membrane Units” , 2018 , 6th International Symposium on Process Intensification , 2018 /11 /7 ~ 2018 /11 /8 , 中華民國 台灣 .
  13. L. L. T. Chan; J. Chen , “Economic Model Predictive Control of an Absorber-Stripper CO2 Capture Process for Improving Energy Cost” , 2018 , 10th International Symposium on Advanced Control of Chemical Processes (ADCHEM) , 2018 /7 /25 ~ 2018 /7 /27 , 大陸地區 .
  14. P. Lu; J. Chen; L. Xie , “ILC Based Economic Batch-to-Batch Optimization for Batch Processes” , 2018 , 10th International Symposium on Advanced Control of Chemical Processes (ADCHEM) , 2018 /7 /25 ~ 2018 /7 /27 , 大陸地區 .
  15. J. Liu; T. Liu; J. Chen , “Quality Prediction for Multi-Grade Processes by Common and Special Feature Extraction” , 2018 , 10th International Symposium on Advanced Control of Chemical Processes (ADCHEM) , 2018 /7 /25 ~ 2018 /7 /27 , 大陸地區 .
  16. Y. Lyu; J. Chen; Z. Song , “Image-Based Process Monitoring Using Deep Belief Networks” , 2018 , 10th International Symposium on Advanced Control of Chemical Processes (ADCHEM) , 2018 /7 /25 ~ 2018 /7 /27 , 大陸地區 .
  17. C.-H. Wei; J. Chen; Z.-H. Song , “Soft Sensors of Nonlinear Industrial Processes Based on Self-Learning Kernel Regression Model” , 2017 , Proceedings of 2017 Asian Control Conference , 2017 /12 /17 ~ 2017 /12 /20 , Republic of Singapore .
  18. L. Zhou; J. Chen; Z. Ge; Z.-H. Song , “Multiple Fault Detection Using Multi-rate Probability Principle Component Analysis Models” , 2017 , 20th IFAC World Congress , 2017 /7 /28 ~ 2017 /7 /31 , France .
  19. X. Lang; D. Zhong; L. Xie; J. Chen; H. Su , “Application of the Improved Multivariate Empirical Mode Decomposition to Plant-Wide Oscillations Characterization” , 2017 , 6th International Symposium on Advanced Control of Industrial Processes , 2017 /5 /28 ~ 2017 /5 /31 , 中華民國 台灣 .
  20. Q.-Y. Wu; L. L. T. Chan; J. Chen , “Active Learning Dynamic Soft Sensor with Forward-Update Scheme” , 2017 , 6th International Symposium on Advanced Control of Industrial Processes , 2017 /5 /28 ~ 2017 /5 /31 , 中華民國 台灣 .
  21. S. W. Ku; J. Chen; L. L. T. Chan , “Identification of LTV Systems with Cascade Control Loops Using Basis Function Approach” , 2017 , 6th International Symposium on Advanced Control of Industrial Processes , 2017 /5 /28 ~ 2017 /5 /31 , 中華民國 台灣 .
  22. Z. Yan; J. Chen; Z. Zhang , “Valve Stiction Detection Using the Bootstrap Hammerstein System Identification” , 2017 , 6th International Symposium on Advanced Control of Industrial Processes , 2017 /5 /28 ~ 2017 /5 /31 , 中華民國 台灣 .
  23. X. Wu; L. L. T. Chan; J. Chen; X. Lei , “Application of Gaussian Processes with Variable Shrinkage Method and Just-In-Time Modeling in the Semiconductor Industr” , 2017 , 6th International Symposium on Advanced Control of Industrial Processes , 2017 /5 /28 ~ 2017 /5 /31 , 中華民國 台灣 .
  24. Junghui Chen; Qing-Yang Wu; Lester Lik Teck Chan , “Utilizing Big Data for Development of Soft Sensor” , 2017 , 2017 AIChE Spring Meeting and 13th Global Congress on Process Safety , 2017 /3 /26 ~ 2017 /3 /30 , United States .
  25. Qing-Yang Wua; Yi Liu; Junghui Chen , “Improving the Quality of Latent Variable Soft Sensor Models Using Active Sequential Data Selection” , 2016 , The 7th International Symposium on Design, Operation and Control of Chemical Processes (PSE ASIA 2016) , 2016 /7 /24 ~ 2016 /7 /27 , Japan .
  26. Shao-Wu Gu; Junghui Chen , “ LTV Subspace System Identification for Nonlinear Chemical Processes – An Orthonormal Basis Function Approach” , 2016 , The 7th International Symposium on Design, Operation and Control of Chemical Processes (PSE ASIA 2016) , 2016 /7 /24 ~ 2016 /7 /27 , Japan .
  27. J. Chen, F. Wang , “PLS Based dEWMA Controller for MIMO Non-Squared Semiconductor” , 2005 , International Conference on Engineering Applications and Computational Algorithms , 2005 /7 ~ 2006 .
  28. J. Chen, Y. Yea, K.-C. Lin, C.-J. Hsu , “Performance Assessment and Diagnosis in Batch Units” , 2005 , Proceedings of the 2005 CIChE Annual Meeting and Conferences , 2006 ~ 2006 .
  29. J. Chen, H.-H. Chen, W.-J. Chang , “Wavelet-Based Hidden Markov Tree for Batch Process Monitoring” , 2005 , PSE Asia , 2006 ~ 2006 .
  30. F. Wang, Y.-P. Ho, K.-C. Lin, Y. Yea, W. Wan, J. Chen , “Evaluation of Data-Driven Based Batch-to-Batch Optimization Approach for Pervaporation Process” , 2005 , International Membrane Conference in Taiwan 2005 , 2006 ~ 2006 .
  31. J. Chen, Y. Yea , “Assessment and Diagnosis of Feedforward/Feedback Control System” , 2005 , American Control Conference (ACC 2005) , 2006 ~ 2006 .
  32. S.-C. Huang, Y. Yea, K.-C. Kai, J. H.Chen , “Performance Assessment Measures for Parallel Cascade Control” , 2004 , 2004 Symposium on Process Systems Engineering , 2004 ~ 2004 .
  33. J. H.Chen, Y. Yea, F. Wang , Y.-P. Ho , “On-Line Batch Process Monitoring Using Three-Way Data Analysis” , 2004 , Proceedings of the 2004 CIChE Annual Meeting and Conferences , 2004 ~ 2004 .
  34. F. Wang, J. H.Chen , “PLS Based Run-to-Run Control Design for MIMO Non-Squared Semiconductor Processes” , 2004 , 2004 Symposium on Process Systems Engineering , 2004 ~ 2004 .
  35. Chen, J.H., K.-P. Wang , “Designing Optimal Operation Profiles of Batch Reactors with the Integration of Function Approximation and Experimental Design” , 2004 , AIChE Annual Meeting , 2004 ~ 2004 .
  36. Chen, J.H., Y.-C. Cheng , “Using Neural Networks and PLS to Design Multi-loop PID Controllers in Nonlinear MIMO Processes” , 2004 , 2004 International Conference on Dynamics, Instrumentation and Control , 2004 ~ 2004 .
  37. Y. Yea and J. H.Chen , “QDMC on the Basis of Neural Network Models in Nonlinear Processes” , 2003 , 2003 Chinese Automatic Control Conference , 2003 ~ 2003 .
  38. K.-P. Wang, J. H.Chen, S.-L. Lee and J.-Y. Houng , “Optimization of the Operating pH Profile in a Batch Reactor for Asymmetric Bioreduction of Ethyl 4-Chloro Acetoacetate” , 2003 , 8th Biochemical Engineering Conference , 2003 ~ 2003 .
  39. Huang, P.-S., J. H. Chen , “Identification of Hammerstein Models Using CMAC Network” , 2003 , 2003 Symposium on Process Systems Engineering , 2003 /12 ~ 2003 .
  40. Huang, S.-C.,Y. Yea, J.H. Chen , “Achievable Performance Design of Single-Loop PID Control Systems” , 2003 , 2003 Symposium on Process Systems Engineering , 2003 /12 ~ 2003 .
  41. Chen, J.H., Y. Yea, W.-J. Chang, S.-C. Huang , “Optimal Batch Trajectory Design Based on An Intelligent Data-Driven Method” , 2003 , Proceedings of the 2003 CIChE Annual Meeting and Conferences, , 2003 ~ 2003 .
  42. Chen, J. H. and J.-H. Yen , “Development of Dynamic PARAFAC for On-Line Batch Process Monitoring” , 2002 , PSE Asia 2002 , 2003 ~ 2003 .
  43. Chen, J.H. and J.-H. Yen , “Comparison of MPCA and PARAFAC for Batch Process Monitoring” , 2002 , AIChE Annual Meeting , 2003 ~ 2003 .
  44. Chen, J.H. , Y. Yea, Y.-C. Chang and K.-P. Wang , “Development of Dynamic Principal Component Analysis for On-line Batch Process Monitoring” , 2002 , Proceedings of the 2002 CIChE Annual Meeting and Conferences , 2003 ~ 2003 .
  45. Chen, J.H. , Q. Liu, C. Wang , “Mixture PCA Network for Process Monitoring and Diagnosis” , 2001 , Proceedings of the 2000 CIChE Annual Meeting and Conferences , 2001 ~ 2001 .
  46. Chen, J.H. , Y. Yea , “Pole Placement Design Based on Instantaneous Linearization of Neural Network” , 2001 , Automatic Control Conference , 2001 ~ 2001 .
  47. Chen, J.H. , J. Liu , “Multivariate Calibration Models Based on Functional Space and Partial Least Square for Batch Processes” , 2001 , 4th IFAC Workshop on On-line Fault Detection and Supervision in the Chemical Process Industries , 2001 ~ 2001 .
  48. Chen, J.H , R-G. Sheu , “Optimal Trajectory Design in Batch Processes Using Soft Computing” , 2001 , Optimal Trajectory Design in Batch Processes Using Soft Computing , 2002 ~ 2002 .
  49. Chen, J. H. , Y. Yea , “Development of Neural Network Predictive Control for Multivariable Systems” , 2001 , Symposium on Computer Process Control , 2002 ~ 2002 .
  50. Chen, J.H, K-C. Liu, J-H. Yen , “On-Line Batch Process Monitoring” , 2001 , Global Chinese Petroleum and Petrochemical Technology Symposium , 2002 ~ 2002 .
  51. J.H. Chen and Y. Yea , “Neural Network Model Predictive Control on Multivariable Systems” , 2000 , Automatic Control Conference , 2001 ~ 2001 .
  52. J. H. Chen and J. Liu , “On-Line Piecewise Monitoring for Batch Process” , 2000 , IFAC-ADCHEM 2000 , 2001 ~ 2001 .
  53. 劉佳霖, 陳榮輝, 黃天志, 陸木榮 , “連鑄製程表面缺陷的監督方法” , 1999 , Symposium on Computer Process Control , 2001 ~ 2001 .
  54. Junghui Chen,Jialin Liu , “Process Monitoring Using Principal component Analysis in Different Operating Time Processes” , 1999 , 1999 IFAC 14th Triennial World Congress , 1999 ~ 1999 .
  55. Junghui Chen,Chien Hao Liao,Jialin Liu , “Batch Process Analying and Monitoring Using Functional Space Analysis and Principal Component Analysis” , 1999 , 1999 CIChE Annual Meeting and Conferences , 1999 ~ 1999 .
  56. Junghui Chen,Yuezhi Yea,Tienchih Huang , “Parallel Algorithm for Training MLP Neural Networks” , 1999 , Symposium on Computer Process Control , 1999 ~ 1999 .
  57. 劉佳霖,陳榮輝,鍾進煌,王一虹 , “應用多變量統計程序控制於脫水塔異常偵測” , 1998 , Symposium on Computer Process Control , 1998 ~ 1998 .
  58. Chen J.H. , J. Liu , “Multivariate Statistic Process Control in Distillation” , 1998 , Symposium on Computer Process Control , 1998 ~ 1998 .
專利
  1. 陳榮輝；林昱宏 , “CONDENSING TUBE AND FILTRATION MODULE THEREOF” , 發明 , 2013 , 美國 , US 8,353,981 B2 (2013.1) .
  2. 陳榮輝；林昱宏 , “凝結管及使用其之過瀘模組” , 發明 , 2012 , 中華民國 台灣 , 發明第I 374052號 (2012.10) .
技術報告
  1. 陳榮輝, 葉育志, 王凡, 何雲鵬 , “批次反應系統之最適化操作、監控與控制器性能評估整合 (II)” , 2004 .
  2. 陳榮輝, 葉育志, 張旺榮, 黃順祺 , “批次反應系統之最適化操作、監控與控制器性能評估整合 (I)” , 2003 .
  3. 陳榮輝 , “發展動態PCA於批次製程的即時監控系統” , 2002 .
  4. 陳榮輝，葉育志 , “多變數類神經網路模式預測控制器的發展” , 2001 .
  5. 陳榮輝,劉坤志,王志偉 , “混合型PCA網路監督診斷系統” , 2000 .
  6. 陳榮輝 , “函數型PCA於批次製程監督與測量矯正的發展 ” , 1999 .
  7. 陳 榮 輝 , “發展PCA類神經網路於錯誤診斷” , 1988 .