Le Zhou

发表

A multi-scale prediction model based on empirical mode decomposition and chaos theory for industrial melt index prediction

Xinggao Liu, Miao Zhang, Le Zhou, 2019, Chemometrics and Intelligent Laboratory Systems.

Deep learning of complex process data for fault classification based on sparse probabilistic dynamic network

Zhi-huan Song, Junhua Zheng, Le Zhou, 2022, Journal of the Taiwan Institute of Chemical Engineers.

Dynamic mutual information similarity based transient process identification and fault detection

Zhiqiang Ge, Zhihuan Song, Le Zhou, 2018 .

Semi-supervised PLVR models for process monitoring with unequal sample sizes of process variables and quality variables

Zhiqiang Ge, Junghui Chen, Zhihuan Song, 2015 .

Process-Quality Monitoring Using Semi-Supervised Probability Latent Variable Regression Models

Zhiqiang Ge, Junghui Chen, Zhihuan Song, 2014 .

Improved PCA-SVDD based monitoring method for nonlinear process

Zhihuan Song, Le Zhou, Feifan Shen, 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

Multiple probability principal component analysis for process monitoring with multi-rate measurements

Junghui Chen, Zhihuan Song, Jing Jie, 2019, Journal of the Taiwan Institute of Chemical Engineers.

Multirate Dynamic Process Monitoring Based on Multirate Linear Gaussian State-Space Model

Zhiqiang Ge, Zhihuan Song, Le Zhou, 2019, IEEE Transactions on Automation Science and Engineering.

Autoregressive Dynamic Latent Variable Models for Process Monitoring

Zhihuan Song, Gang Li, Si-Zhao Joe Qin, 2017, IEEE Transactions on Control Systems Technology.

Recursive Gaussian Process Regression Model for Adaptive Quality Monitoring in Batch Processes

Junghui Chen, Zhihuan Song, Le Zhou, 2015 .

Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model

Zhiqiang Ge, Zhihuan Song, Jiaqi Zheng, 2018, IEEE Transactions on Industrial Electronics.

Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis

Zhihuan Song, Lingjian Ye, Le Zhou, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Time Neighborhood Preserving Embedding Model and Its Application for Fault Detection

Zhiqiang Ge, Zhihuan Song, Le Zhou, 2013 .

Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process

Zhihuan Song, Le Zhou, Donglei Zheng, 2021, IEEE/CAA Journal of Automatica Sinica.

Switching autoregressive dynamic latent variable model for fault detection in multimode processes

Zhiqiang Ge, Zhihuan Song, Jiaqi Zheng, 2017, 2017 6th Data Driven Control and Learning Systems (DDCLS).

Multi-grade principal component analysis for fault detection with multiple production grades

Junghui Chen, Zhihuan Song, Beiping Hou, 2018 .

Probabilistic latent variable regression model for process-quality monitoring

Zhiqiang Ge, Junghui Chen, Zhihuan Song, 2014 .

Junghui Chen, Zhihuan Song, Le Yao, 2017 .

Distributed model projection based transition processes recognition and quality-related fault detection

Zhiqiang Ge, Zhihuan Song, Le Zhou, 2016 .

Nonlinear fault detection based on locally linear embedding

Zhiqiang Ge, Zhihuan Song, Le Zhou, 2013, Journal of Control Theory and Applications.

Nonlinear fault detection based on locally linear embedding

Zhiqiang Ge, Qiaojun Wen, Aimin Miao, 2013, Journal of Control Theory and Applications.

Multirate Factor Analysis Models for Fault Detection in Multirate Processes

Zhiqiang Ge, Zhihuan Song, Le Zhou, 2019, IEEE Transactions on Industrial Informatics.

Data-Driven Predictive Model Based on Locally Weighted Bayesian Gaussian Regression

Zhiqiang Ge, Weiming Shao, Zhihuan Song, 2019, 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS).

Recursive Autoregressive Dynamic Latent Variable Model for Fault Detection of Dynamic Process with Missing Values

Zhihuan Song, Jing Jie, Le Zhou, 2018, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS).

Large-scale plant-wide process modeling and hierarchical monitoring: A distributed Bayesian network approach

Zhiqiang Ge, Zhihuan Song, Le Zhou, 2017 .

Multiple Fault Detection Using Multi-rate Probability Principal Component Analysis Models

Zhiqiang Ge, Zhihuan Song, Junghui Chen, 2017 .

Dynamic process monitoring based on probabilistic principle component regression

Zhiqiang Ge, Zhihuan Song, Le Zhou, 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

Paper Title (use style: paper title)

Yi Liu, Le Zhou, Qiqi Niu, 2022 .