周乐｜浙江科技学院｜学者主页

2026

基于两阶段多教师知识蒸馏的工业过程故障检测方法

陈光捷，张洪海，刘毅，周乐

《自动化学报》

DOI

2026

融合机器学习与振动特征的风电主轴轴承故障预警研究

周乐，孙文磊，栗鑫豪，黄也轩，李龙，陈国勇，张家亮，王晓峰

《机床与液压》

2026

风电机组主轴轴承刚柔耦合动力学建模与动态响应分析

栗鑫豪，孙文磊，周乐，李龙，陈国勇，张家亮，王晓峰

《机床与液压》

2026

光影驱动算法优化及其在风电齿轮传动振动异常诊断中的应用

刘吉元，王剑雄，刘乐，刘石磊，孙文磊，周乐，栗鑫豪

《机床与液压》

2026

基于LBA-YOLOv8n的风机叶片缺陷检测方法研究

吴义利，孙文磊，汪海瑞，方远，周乐

《机床与液压》

2026

DPMSAN: A Dual-Path Multiscale Attention Network With Diverse Local–Global Interactions for Industrial Quality Prediction

Haifeng Lin, Kai Wang, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen, Lingjian Ye, Le Zhou

IEEE Transactions on Industrial Informatics

DOI

2026

Ensemble Data-Centric Process Monitoring Based on Self-Training Random Subspace PCA Model

Junhua Zheng, Le Zhou, Yuting Lyu, Lingjian Ye, Zhiqiang Ge, Le Yao

IEEE Transactions on Industrial Informatics

DOI

2026

Multi-view collaborative deep information fusion framework for complex industrial process monitoring

Junhua Zheng, Le Zhou, Lingjian Ye, Zhiqiang Ge

Journal of Industrial Information Integration

DOI

2026

Semi-Supervised Learning of Multiscale Graph Neural Networks for Industrial Process Fault Diagnosis

Jiaqi Shen, Le Yao, Jiusun Zeng, Le Zhou, Ying Liu, Suijun Liu

IEEE Sensors Journal

DOI

2026

Meta-AWARE: Meta-Learning-Based Automatic Weighted Augmentation for Regression Enhancement in Soft Sensor Applications

Yuting Lyu, Le Zhou, Zhongfa Cheng, Yanfei Hua, Zhihuan Song

IEEE Transactions on Automation Science and Engineering

DOI

2026

GAIN-Pro 2 : A Dual Progressive-Transfer Network With Generative Adversarial Imputation for Industrial Soft Sensing

Yuting Lyu, Maochao Ye, Le Zhou

IEEE Transactions on Industrial Cyber-Physical Systems

DOI

2026

A Novel Soft Sensor Based on Gating Weighted Multihead Self-Attention LSTM Network for Dynamic Nonlinear Processes

Miao Zhang, Gang Xu, Le Zhou

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Self-Distillation for Nonlinear Process Monitoring

Honghai Zhang, Guangjie Chen, Le Zhou

International Symposium on Computer Science and Intelligent Control (ISCSIC)

DOI

2025

Total Structure Multirate Autoregressive Dynamic Latent Variable Model for Multirate Dynamic Process Fault Detection

Donglei Zheng, Le Zhou, Yi Liu, Zheng‐Guang Wu, Zhihuan Song

IEEE Transactions on Systems Man and Cybernetics Systems

DOI

2025

Nonlinear industrial process monitoring based on Deep Residual PCA-SVM model

Lei Wu, Fan Jiang, Guanglei Cheng, Le Zhou

DOI

2025

Dynamic Process Monitoring Using Total Multirate Linear Gaussian State Space Model

Donglei Zheng, Le Zhou, Yi Liu, Qiang Liu

IEEE Transactions on Industrial Informatics

DOI

2025

Deep Co-Training Partial Least Squares Model for Semi-Supervised Industrial Soft Sensing

Junhua Zheng, Le Zhou, Lingjian Ye, Zhiqiang Ge

IEEE Transactions on Systems Man and Cybernetics Systems

DOI

2025

Graph contrastive learning of modeling global-local interactions under hierarchical strategy: Application in anomaly detection

Weiwei Guo, Yang Wang, Le Zhou, Mingwei Jia, Yiliu Liu

Process Safety and Environmental Protection

DOI

2025

Multirate Autoregressive Dynamic Latent Variable Model for Soft Sensing in Dynamic Processes

Yaoxin Wang, Le Zhou, Shenghuang He, Yuanqing Wu

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Multi-Rate Data Distillation for Deep Process Monitoring

Junhua Zheng, Le Zhou, Yuting Lyu, Zeyu Yang, Zhiqiang Ge

IEEE Transactions on Instrumentation and Measurement

DOI

2024

Quality-Relevant Modeling and Monitoring of Industrial Cyber-Physical Systems: The Semi-Supervised Dynamic Latent Variable Models

Le Zhou, Yaoxin Wang, Yuanqing Wu, Shenghuang He, Zhihuan Song

IEEE Transactions on Industrial Cyber-Physical Systems

DOI

2024

Global Dependency Graph Network for Soft Sensing in Process Industry

Mingwei Jia, Le Zhou, Yi Liu, Zengliang Gao, Yuan Yao

IEEE Sensors Journal

DOI

2024

A Novel Bidirectional Long Short-Term Memory Network With Weighted Attention Mechanism for Industrial Soft Sensor Development

Miao Zhang, Beike Xu, Jing Jie, Beiping Hou, Le Zhou

IEEE Sensors Journal

DOI

2024

A Systematic Monitoring Framework Utilizing Dynamic Bayesian Network in Plant-Wide Processes

Guangjie Chen, Le Zhou, Junhua Zheng, Yi Liu, Zhihuan Song

IEEE Transactions on Instrumentation and Measurement

DOI

2023

A Novel Deep Learning-Based Robust Dual-Rate Dynamic Data Modeling for Quality Prediction

Xiangan Meng, Qiang Liu, Chao Yang, Le Zhou, Yiu‐ming Cheung

IEEE Transactions on Industrial Informatics

DOI

2023

Multirate Mixture Probability Principal Component Analysis for Process Monitoring in Multimode Processes

Yuting Lyu, Le Zhou, Ya Cong, Hongbo Zheng, Zhihuan Song

IEEE Transactions on Automation Science and Engineering

DOI

2023

A data‐driven soft sensor based on weighted probabilistic slow feature analysis for nonlinear dynamic chemical processes

Miao Zhang, Beike Xu, Le Zhou, Hui Ping Zheng, Jing Jie

Journal of Chemometrics

DOI

2023

Robust Dynamic Latent Variable Model for Dynamic Process Monitoring With Missing Data in Cyber-Physical Systems

Le Zhou, Lixinqian Yu, Beiping Hou, Hongbo Zheng, Zheng‐Guang Wu

IEEE Transactions on Industrial Cyber-Physical Systems

DOI

2023

Semi-Supervised Process Data Regression and Application Based on Latent Factor Analysis Model

Junhua Zheng, Yangxuan Liu, Yi Liu, Beiping Hou, Yuan Yao, Le Zhou

IEEE Transactions on Instrumentation and Measurement

DOI

2022

深度融合特征提取网络及其在化工过程软测量中的应用

周乐，沈程凯，吴超，侯北平，宋执环

《化工学报》

2022

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

Junhua Zheng, Chao Wu, Qingqiang Sun, Zhihuan Song, Le Zhou

Journal of the Taiwan Institute of Chemical Engineers

DOI

2022

Process modeling by integrating quantitative and qualitative information using a deep embedding network and its application to an extrusion process

Haibin Wu, Yu-Han Lo, Le Zhou, Yuan Yao

Journal of Process Control

DOI

2022

A Multi-Rate Probabilistic Slow Feature Regression Model for Dynamic Feature Learning and Industrial Soft Sensor Development

Miao Zhang, Zhiwei Wen, Le Zhou

IEEE Access

DOI

2022

Subspace Gaussian process regression model for ensemble nonlinear multivariate spectroscopic calibration

Jun-Hua Zheng, Ying Gong, Wei Liu, Le Zhou

Chemometrics and Intelligent Laboratory Systems

DOI

2021

Supervised Dynamic Latent Variable Models for Fault Identification in Dynamic Processes

Qiqi Niu, Chengkai Shen, Yuting Lyu, Yi Liu, Le Zhou

CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2021

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

Donglei Zheng, Le Zhou, Zhihuan Song

IEEE/CAA Journal of Automatica Sinica

DOI

2021

Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis

Jiaxin Yu, Lingjian Ye, Le Zhou, Zeyu Yang, Feifan Shen, Zhihuan Song

IEEE Transactions on Systems Man and Cybernetics Systems

DOI

2021

Soft Sensor Development Based on Quality‐Relevant Slow Feature Analysis and Bayesian Regression with Application to Propylene Polymerization

Miao Zhang, Le Zhou, Jing Jie, Xiaoli Wu

Journal of Sensors

DOI

2021

Difference of Gaussian Convolutional Sparse Principal Component Thermography for Defect Signal Enhance in Composite Materials

Wei Liu, Yuan Zhang, Le Zhou, Yuting Lyu

2021 3rd International Conference on Industrial Artificial Intelligence (IAI)

DOI

2020

Enhanced Fault Detection Using Deviation Degree Penalty with Stacked Autoencoder in Industry Process

Kai Wang, Le Zhou, Yalin Wang

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2020

Prediction and Uncertainty Propagation for Completion Time of Batch Processes Based on Data-Driven Modeling

Le Zhou, Yao‐Chen Chuang, Shao-Heng Hsu, Yuan Yao, Tao Chen

Industrial & Engineering Chemistry Research

DOI

2020

A Novel Dynamic Baysian Canonical Correlation Analysis Method for Fault Detection

Jiaxin Yu, Zeyu Yang, Le Zhou, Lingjian Ye, Zhihuan Song

IFAC-PapersOnLine

DOI

2019

Multi-rate principal component regression model for soft sensor application in industrial processes

Le Zhou, Yaoxin Wang, Zhiqiang Ge

Science China Information Sciences

DOI

2019

Dynamic Processes Modeling and Monitoring based on a Novel Dynamic Latent Variable Model

Le Zhou, Zhiqiang Ge, Zhihuan Song, S. Joe Qin

CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2019

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

Weiming Shao, Zhiqiang Ge, Zhihuan Song, Le Zhou

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2019

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

Miao Zhang, Le Zhou, Jing Jie, Xinggao Liu

Chemometrics and Intelligent Laboratory Systems

DOI

2018

CPSO-NP优化算法及其在TE过程中应用

周乐，刘昕明，周鹤龄

《测控技术》

2018

小波分析和CPSO-NP优化SVM的电机故障诊断方法研究

周乐

《辽宁工程技术大学》

2018

Multirate Factor Analysis Models for Fault Detection in Multirate Processes

Le Zhou, Yaoxin Wang, Zhiqiang Ge, Zhihuan Song

IEEE Transactions on Industrial Informatics

DOI

2018

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

Le Zhou, Junghui Chen, Jing Jie, Zhihuan Song

Journal of the Taiwan Institute of Chemical Engineers

DOI

2018

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

Le Zhou, Junghui Chen, Beiping Hou, Zhihuan Song

Chemometrics and Intelligent Laboratory Systems

DOI

2018

Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model

Le Zhou, Jiaqi Zheng, Zhiqiang Ge, Zhihuan Song, Shengdao Shan

IEEE Transactions on Industrial Electronics

DOI

2017

一种鲁棒半监督建模方法及其在化工过程故障检测中的应用

周乐，宋执环，侯北平，费正顺

《化工学报》

2017

Dynamic mutual information similarity based transient process identification and fault detection

Yuchen He, Le Zhou, Zhiqiang Ge, Zhihuan Song

The Canadian Journal of Chemical Engineering

DOI

2017

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

Jinlin Zhu, Zhiqiang Ge, Zhihuan Song, Le Zhou, Guangjie Chen

Journal of Process Control

DOI

2017

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

Le Zhou, Junghui Chen, Zhiqiang Ge, Zhihuan Song

IFAC-PapersOnLine

DOI

2017

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

Jiaqi Zheng, Le Zhou, Zhiqiang Ge, Zhihuan Song

Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2016

Similarity based robust probability latent variable regression model and its kernel extension for process monitoring

Le Zhou, Junghui Chen, Le Yao, Zhihuan Song, Beiping Hou

Chemometrics and Intelligent Laboratory Systems

DOI

2016

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

Yuchen He, Le Zhou, Zhiqiang Ge, Zhihuan Song

Chemometrics and Intelligent Laboratory Systems

DOI

2016

Autoregressive Dynamic Latent Variable Models for Process Monitoring

Le Zhou, Gang Li, Zhihuan Song, S. Joe Qin

IEEE Transactions on Control Systems Technology

DOI

精选作品

期刊论文

基于两阶段多教师知识蒸馏的工业过程故障检测方法

融合机器学习与振动特征的风电主轴轴承故障预警研究

风电机组主轴轴承刚柔耦合动力学建模与动态响应分析

光影驱动算法优化及其在风电齿轮传动振动异常诊断中的应用

基于LBA-YOLOv8n的风机叶片缺陷检测方法研究

DPMSAN: A Dual-Path Multiscale Attention Network With Diverse Local–Global Interactions for Industrial Quality Prediction

Ensemble Data-Centric Process Monitoring Based on Self-Training Random Subspace PCA Model

Multi-view collaborative deep information fusion framework for complex industrial process monitoring

Semi-Supervised Learning of Multiscale Graph Neural Networks for Industrial Process Fault Diagnosis

Meta-AWARE: Meta-Learning-Based Automatic Weighted Augmentation for Regression Enhancement in Soft Sensor Applications

GAIN-Pro 2 : A Dual Progressive-Transfer Network With Generative Adversarial Imputation for Industrial Soft Sensing

A Novel Soft Sensor Based on Gating Weighted Multihead Self-Attention LSTM Network for Dynamic Nonlinear Processes

Self-Distillation for Nonlinear Process Monitoring

Total Structure Multirate Autoregressive Dynamic Latent Variable Model for Multirate Dynamic Process Fault Detection

Nonlinear industrial process monitoring based on Deep Residual PCA-SVM model

Dynamic Process Monitoring Using Total Multirate Linear Gaussian State Space Model

Deep Co-Training Partial Least Squares Model for Semi-Supervised Industrial Soft Sensing

Graph contrastive learning of modeling global-local interactions under hierarchical strategy: Application in anomaly detection

Multirate Autoregressive Dynamic Latent Variable Model for Soft Sensing in Dynamic Processes

Multi-Rate Data Distillation for Deep Process Monitoring

Quality-Relevant Modeling and Monitoring of Industrial Cyber-Physical Systems: The Semi-Supervised Dynamic Latent Variable Models

Global Dependency Graph Network for Soft Sensing in Process Industry

A Novel Bidirectional Long Short-Term Memory Network With Weighted Attention Mechanism for Industrial Soft Sensor Development

A Systematic Monitoring Framework Utilizing Dynamic Bayesian Network in Plant-Wide Processes

A Novel Deep Learning-Based Robust Dual-Rate Dynamic Data Modeling for Quality Prediction

Multirate Mixture Probability Principal Component Analysis for Process Monitoring in Multimode Processes

A data‐driven soft sensor based on weighted probabilistic slow feature analysis for nonlinear dynamic chemical processes

Robust Dynamic Latent Variable Model for Dynamic Process Monitoring With Missing Data in Cyber-Physical Systems

Semi-Supervised Process Data Regression and Application Based on Latent Factor Analysis Model

深度融合特征提取网络及其在化工过程软测量中的应用

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

Process modeling by integrating quantitative and qualitative information using a deep embedding network and its application to an extrusion process

A Multi-Rate Probabilistic Slow Feature Regression Model for Dynamic Feature Learning and Industrial Soft Sensor Development

Subspace Gaussian process regression model for ensemble nonlinear multivariate spectroscopic calibration

Supervised Dynamic Latent Variable Models for Fault Identification in Dynamic Processes

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

Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis

Soft Sensor Development Based on Quality‐Relevant Slow Feature Analysis and Bayesian Regression with Application to Propylene Polymerization

Difference of Gaussian Convolutional Sparse Principal Component Thermography for Defect Signal Enhance in Composite Materials

Enhanced Fault Detection Using Deviation Degree Penalty with Stacked Autoencoder in Industry Process

Prediction and Uncertainty Propagation for Completion Time of Batch Processes Based on Data-Driven Modeling

A Novel Dynamic Baysian Canonical Correlation Analysis Method for Fault Detection

Multi-rate principal component regression model for soft sensor application in industrial processes

Dynamic Processes Modeling and Monitoring based on a Novel Dynamic Latent Variable Model

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

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

CPSO-NP优化算法及其在TE过程中应用

小波分析和CPSO-NP优化SVM的电机故障诊断方法研究

Multirate Factor Analysis Models for Fault Detection in Multirate Processes

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

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

Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model

一种鲁棒半监督建模方法及其在化工过程故障检测中的应用

Dynamic mutual information similarity based transient process identification and fault detection

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

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

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

Similarity based robust probability latent variable regression model and its kernel extension for process monitoring

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

Autoregressive Dynamic Latent Variable Models for Process Monitoring

会议论文

基于多采样率因子分析回归的工业过程软测量建模

Dynamic Process Monitoring Based on Probabilistic Principle Component Regression

Improved PCA-SVDD based monitoring method for nonlinear process

研究方向