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Le Zhou
Le Zhou
Professor of Control Science & Engineering, Zhejiang University of Science and Technology
Verified email at zust.edu.cn
Title
Cited by
Cited by
Year
Multimode process monitoring based on switching autoregressive dynamic latent variable model
L Zhou, J Zheng, Z Ge, Z Song, S Shan
IEEE Transactions on Industrial Electronics 65 (10), 8184-8194, 2018
1042018
Autoregressive Dynamic Latent Variable Models for Process Monitoring
L Zhou, G Li, Z Song, SJ Qin
IEEE Transactions on Control Systems Technology 25 (1), 366-373, 2017
992017
Large-scale plant-wide process modeling and hierarchical monitoring: A distributed Bayesian network approach
J Zhu, Z Ge, Z Song, L Zhou, G Chen
Journal of Process Control 65, 91-106, 2018
842018
Time neighborhood preserving embedding model and its application for fault detection
A Miao, Z Ge, Z Song, L Zhou
Industrial & Engineering Chemistry Research 52 (38), 13717-13729, 2013
672013
Probabilistic latent variable regression model for process-quality monitoring
L Zhou, J Chen, Z Song, Z Ge, A Miao
Chemical Engineering Science 116, 296-305, 2014
542014
Semi-supervised PLVR models for process monitoring with unequal sample sizes of process variables and quality variables
L Zhou, J Chen, Z Song, Z Ge
Journal of Process Control 26, 1-16, 2015
492015
Multirate Factor Analysis Models for Fault Detection in Multirate Processes
L Zhou, Y Wang, Z Ge, Z Song
IEEE Transactions on Industrial Informatics 15 (7), 4076-4085, 2019
482019
Multirate Dynamic Process Monitoring Based on Multirate Linear Gaussian State-Space Model
Y Cong, L Zhou, Z Song, Z Ge
IEEE Transactions on Automation Science and Engineering 16 (4), 1708-1719, 2019
342019
Recursive Gaussian Process Regression Model for Adaptive Quality Monitoring in Batch Processes
L Zhou, J Chen, Z Song
Mathematical Problems in Engineering 2015, 2015
252015
Multiple probability principal component analysis for process monitoring with multi-rate measurements
L Zhou, J Chen, J Jie, Z Song
Journal of the Taiwan Institute of Chemical Engineers 96, 18-28, 2019
222019
Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process
D Zheng, L Zhou, Z Song
IEEE/CAA Journal of Automatica Sinica 8 (8), 1465-1476, 2021
212021
Dynamic process monitoring based on variational Bayesian canonical variate analysis
J Yu, L Ye, L Zhou, Z Yang, F Shen, Z Song
IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (4), 2412-2422, 2021
212021
Dynamic mutual information similarity based transient process identification and fault detection
Y He, L Zhou, Z Ge, Z Song
The Canadian Journal of Chemical Engineering 96 (7), 1541-1558, 2018
212018
A multi-scale prediction model based on empirical mode decomposition and chaos theory for industrial melt index prediction
M Zhang, L Zhou, J Jie, X Liu
Chemometrics and Intelligent Laboratory Systems 186, 23-32, 2019
162019
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems
KD Lu, L Zhou, ZG Wu
IEEE Transactions on Neural Networks and Learning Systems, 2023
152023
Multi-grade principal component analysis for fault detection with multiple production grades
L Zhou, J Chen, B Hou, Z Song
Chemometrics and Intelligent Laboratory Systems 175, 20-29, 2018
152018
Defect detection in composite products based on sparse moving window principal component thermography
J Jie, S Dai, B Hou, M Zhang, L Zhou
Advances in Polymer Technology 2020, 1-12, 2020
142020
Multirate Mixture Probability Principal Component Analysis for Process Monitoring in Multimode Processes
Y Lyu, L Zhou, Y Cong, H Zheng, Z Song
IEEE Transactions on Automation Science and Engineering, 2023
132023
Nonlinear fault detection based on locally linear embedding
A Miao, Z Song, Z Ge, L Zhou, Q Wen
Journal of Control Theory and Applications 11 (4), 615-622, 2013
132013
Multi-rate principal component regression model for soft sensor application in industrial processes
L Zhou, Y Wang, Z Ge
Science China. Information Sciences 63 (4), 149205, 2020
122020
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