Le Zhou
Le Zhou
Associate Professor of Control Science & Engineering, Zhejiang University of Science and Technology
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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
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
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
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
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
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
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, 2018
Recursive Gaussian Process Regression Model for Adaptive Quality Monitoring in Batch Processes
L Zhou, J Chen, Z Song
Mathematical Problems in Engineering 2015, 2015
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
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
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
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
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
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, 2020
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
Improved PCA-SVDD based monitoring method for nonlinear process
F Shen, Z Song, L Zhou
2013 25th Chinese Control and Decision Conference (CCDC), 4330-4336, 2013
Distributed model projection based transition processes recognition and quality-related fault detection
Y He, L Zhou, Z Ge, Z Song
Chemometrics and Intelligent Laboratory Systems 159, 69-79, 2016
Process-quality monitoring using semi-supervised probability latent variable regression models
L Zhou, Z Song, J Chen, Z Ge, Z Li
IFAC Proceedings Volumes 47 (3), 8272-8277, 2014
Similarity based robust probability latent variable regression model and its kernel extension for process monitoring
L Zhou, J Chen, L Yao, Z Song, B Hou
Chemometrics and Intelligent Laboratory Systems 161, 88-95, 2017
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), 1-3, 2020
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