曹玉苹｜中国石油大学(华东)｜学者主页

2026

Improved Convolution Attention Neural Networks for Fault Diagnosis of Plunger Pumps Via Adaptive Clustering-Guided Subclass Reconstruction

Zhuowen Zhang, Yuping Cao, Ping Wang, Xiaogang Deng

Chinese Control and Decision Conference (CCDC)

DOI

2026

Physical Information-Assisted Attention Convolution Neural Network (PACNN) and Its Application to Plunger Pump Fault Diagnosis

Yuping Cao, Zhuowen Zhang, Ping Wang, Lumeng Huang, Xiaogang Deng

IEEE Transactions on Instrumentation and Measurement

DOI

2026

Ultra-Short-Term Photovoltaic Power Hybrid Interval Forecasting Model Based on the “Decomposition-Training-Prediction-Reconstruction” Framework

Li-Ye Xie, Yuping Cao, Li-Wei Ju, Cai-Xia Tan

Renewable Energy

DOI

2025

Chemical process time series prediction using multi‐source transfer learning based on ESN

Yuping Cao, Xinyu Liu, Xiaogang Deng, Ping Wang

The Canadian Journal of Chemical Engineering

DOI

2025

A two‐layer temporal stochastic configuration broad learning system for complex industrial soft sensing

Xiaogang Deng, Zhongyong Fan, Ping Wang, Lumeng Huang, Yuping Cao

The Canadian Journal of Chemical Engineering

DOI

2025

Zero-shot learning augmented slow feature analysis for semantic-aware industrial process fault detection

Wenjie Yang, Xiaogang Deng, Lumeng Huang, Yuping Cao

Engineering Applications of Artificial Intelligence

DOI

2025

Complex nonlinear industrial process fault detection and isolation using efficient dual-layer dynamic feature extraction

Yujiang Wang, Xiaogang Deng, Yuping Cao

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

DOI

2025

Bi-Level Fault Diagnosis for Chemical Processes Based on DIndRNN-MTodynet

Peiran Li, Yuping Cao, Xiaogang Deng

Chinese Control and Decision Conference (CCDC)

DOI

2025

Fault detection of multimode chemical processes using weighted density peak clustering and trend slow feature analysis

Xiaogang Deng, M. C. Wu, Wenjie Yang, Xiaoguang Tang, Yuping Cao

Process Safety and Environmental Protection

DOI

2025

Chemical process fault diagnosis based on bi-level dynamic IndRNN

Yuping Cao, Penghang Li, Xiaogang Deng

Chemical Engineering Science

DOI

2024

多阶段青霉素生产过程的故障检测研究

张晓玲，丁腾飞，曹玉苹

《控制工程》

2024

Information enhanced slow feature analysis integrated with prior fault data for sensitive monitoring of chemical processes

Xiaogang Deng, Wenjie Yang, Yuping Cao, Ying-Chun Bo

Process Safety and Environmental Protection

DOI

2024

Chemical process fault detection and trend analysis based on KESN

Yuping Cao, Ruikang Cheng, Xiaogang Deng, Ping Wang

The Canadian Journal of Chemical Engineering

DOI

2024

Fault detection of complicated processes based on an enhanced transformer network with graph attention mechanism

Yuping Cao, Xiaoguang Tang, Xiaogang Deng, Xiaogang Deng, Ping Wang

Process Safety and Environmental Protection

DOI

2024

Nonlinear predictable feature learning with explanatory reasoning for complicated industrial system fault diagnosis

Xuepeng Zhang, Xiaogang Deng, Yuping Cao, Linbo Xiao

Knowledge-Based Systems

DOI

2022

Incipient fault detection of nonlinear chemical processes based on probability-related randomized slow feature analysis

Xiaogang Deng, Xuepeng Zhang, Xiaoyue Liu, Yuping Cao

Process Safety and Environmental Protection

DOI

2022

Incipient fault detection for dynamic chemical processes based on enhanced CVDA integrated with probability information and fault-sensitive features

Xiaogang Deng, Xiaoyue Liu, Yuping Cao, Cong Lin, Zhe Li

Journal of Process Control

DOI

2020

基于多阶段多核支持向量数据描述的间歇过程监控方法

王晓慧，王延江，邓晓刚，曹玉苹，王平

《中国石油大学学报(自然科学版)》

2020

基于张量分解的间歇过程故障诊断方法

张晓玲，曹玉苹，邓晓刚

《高校化学工程学报》

2020

基于能量加权高斯过程回归的锂离子电池健康状态预测

郑雪莹，邓晓刚，曹玉苹

《电子测量与仪器学报》

DOI

2020

Incipient Fault Detection of Nonlinear Processes Based on Probablility Related SVDD in Local Variable Field

Xiaohui Wang, Yanjiang Wang, Xiaogang Deng, Yuping Cao

Chinese Automation Congress

DOI

2020

Two-Step Localized Kernel Principal Component Analysis Based Incipient Fault Diagnosis for Nonlinear Industrial Processes

Xiaogang Deng, Peipei Cai, Yuping Cao, Ping Wang

Industrial & Engineering Chemistry Research

DOI

2020

Soft Sensor Modeling for Unobserved Multimode Nonlinear Processes Based on Modified Kernel Partial Least Squares With Latent Factor Clustering

Xiaogang Deng, Yongxuan Chen, Ping Wang, Yuping Cao

IEEE Access

DOI

2020

A Batch Process Monitoring Method Using Two-Dimensional Localized Dynamic Support Vector Data Description

Xiaohui Wang, Yanjiang Wang, Xiaogang Deng, Yuping Cao

IEEE Access

DOI

2020

Variable Sub-Region Canonical Variate Analysis for Dynamic Process Monitoring

Yuping Cao, Lei Yu, Xiaogang Deng, Xiaoling Zhang

IEEE Access

DOI

2019

基于核典型RF的过程故障诊断

曹玉苹，卢霄，田学民，邓晓刚

《控制工程》

2019

基于WPRKPCA的非线性化工过程微小故障检测

蔡配配，邓晓刚，曹玉苹，邓佳伟

《化工进展》

DOI

2019

基于变量分组DTW-MCVA的不等长间歇过程故障检测方法

于蕾，邓晓刚，曹玉苹，路凯琪

《化工学报》

2019

基于加权统计局部核主元分析的非线性化工过程微小故障诊断方法

邓佳伟，邓晓刚，曹玉苹，张晓玲

《化工学报》

2019

Nonlinear Soft Sensor Modeling Method Based on Multimode Kernel Partial Least Squares Assisted by Improved KFCM Clustering

Yongxuan Chen, Xiaogang Deng, Yuping Cao

Chinese Automation Congress

DOI

2019

Semisupervised Classification for Industrial Process Faults Using Modified Fisher Discriminant Analysis Assisted by Stacked Autoencoder

Xiaogang Deng, Jiabing Dai, Yuping Cao

Chinese Automation Congress

DOI

2019

An Enhanced Method to Assess MPC Performance Based on Multi-Step Slow Feature Analysis

Linyuan Shang, Yanjiang Wang, Xiaogang Deng, Yuping Cao, Ping Wang, Yuhong Wang

Energies

DOI

2019

Industrial Process Fault Classification Based on Weighted Stacked Extreme Learning Machine

Kai Gao, Xiaogang Deng, Yuping Cao

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

DOI

2019

Incipient Fault Diagnosis of Sucker Rod Pumping System Using Kullback Leibler Divergence Based Improved Kernel Principal Component Analysis

Peipei Cai, Xiaogang Deng, Yuping Cao

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

DOI

2019

Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes

Xiaogang Deng, Peipei Cai, Jiawei Deng, Yuping Cao, Zhihuan Song

IEEE Access

DOI

2019

A Model Predictive Control Performance Monitoring and Grading Strategy Based on Improved Slow Feature Analysis

Linyuan Shang, Yanjiang Wang, Xiaogang Deng, Yuping Cao, Ping Wang, Yuhong Wang

IEEE Access

DOI

2019

Understanding Subsynchronous Oscillations in DFIG-Based Wind Farms Without Series Compensation

Yan-Hui Xu, Shimeng Zhao, Yuping Cao, K. Sun

IEEE Access

DOI

2018

基于双层局部KPCA的非线性过程微小故障检测方法

邓晓刚，邓佳伟，曹玉苹，王磊

《化工学报》

2018

Fault Trend Prediction Based on A Combined Fault Model for Catalyst Deactivation

Xueying Zheng, Xiaogang Deng, Yuping Cao

Chinese Automation Congress

DOI

2018

Batch process fault detection and identification based on discriminant global preserving kernel slow feature analysis

Hanyuan Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao

ISA Transactions

DOI

2018

Multimode complex process monitoring using double‐level local information based local outlier factor method

Lei Wang, Xiaogang Deng, Yuping Cao

Journal of Chemometrics

DOI

2018

Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis

Hanyuan Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao

Neurocomputing

DOI

2018

Sub-synchronous oscillation in PMSGs based wind farms caused by amplification effect of GSC controller and PLL to harmonics

Yan-Hui Xu, Yuping Cao

DOI

2017

基于动态单类随机森林的非线性过程监控方法

曹玉苹，卢霄，田学民，邓晓刚

《化工学报》

2017

基于PLS交叉积矩阵非相似度分析的MPC性能监控与诊断

尚林源，田学民，曹玉苹，蔡连芳

《自动化学报》

DOI

2017

基于MLFDA的化工过程故障模式分类方法

王磊，邓晓刚，曹玉苹，田学民

《山东大学学报(工学版)》

2017

Dynamic process fault prediction using canonical variable trend analysis

Yongping Hu, Xiaogang Deng, Yuping Cao, Xuemin Tian

Chinese Automation Congress

DOI

2017

Quality-Relevant Batch Process Fault Detection Using a Multiway Multi-Subspace CVA Method

Yuping Cao, Yongping Hu, Xiaogang Deng, Xuemin Tian

IEEE Access

DOI

2015

一种基于DIOCVA的过程监控方法

曹玉苹，黄琳哲，田学民

《自动化学报》

DOI

2015

基于FRICA算法的非高斯过程故障检测方法

徐莹，邓晓刚，曹玉苹

《应用技术学报》

2013

基于协方差指标预测的MPC实时性能监控

田学民，史亚杰，曹玉苹

《自动化学报》

2013

一种基于子空间LQG基准的MPC性能分析方法

史亚杰，田学民，曹玉苹

《华东理工大学学报(自然科学版)》

2013

Minimum mean squared prediction error criterion based improved independent component analysis method for process monitoring

Lianfang Cai, Xuemin Tian, Yuping Cao

IFAC Proceedings Volumes

DOI

2012

Artificial bee colony algorithm with modified search strategy

Yuping Cao

Journal of Computer Applications

2010

基于信息散度的过程故障检测与诊断

曹玉苹，田学民

《浙江大学学报(工学版)》

2010

基于Unscented卡尔曼滤波新息的多变量序贯概率比检验故障检测方法

曹玉苹，田学民

《中国石油大学学报(自然科学版)》

2010

Seismic denoising based on modified BP neural network

Yinxue Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao

International Conference on Natural Computation (ICNC)

DOI

2009

基于SVM和Kalman预测的非线性系统故障预报

曹玉苹，田学民

《控制与决策》

DOI

2008

统计过程控制的研究现状及展望

田学民，曹玉苹

《中国石油大学学报(自然科学版)》

2007

基于典型变量分析状态残差的故障检测方法

曹玉苹，田学民

《控制工程》

精选作品

期刊论文

Improved Convolution Attention Neural Networks for Fault Diagnosis of Plunger Pumps Via Adaptive Clustering-Guided Subclass Reconstruction

Physical Information-Assisted Attention Convolution Neural Network (PACNN) and Its Application to Plunger Pump Fault Diagnosis

Ultra-Short-Term Photovoltaic Power Hybrid Interval Forecasting Model Based on the “Decomposition-Training-Prediction-Reconstruction” Framework

Chemical process time series prediction using multi‐source transfer learning based on ESN

A two‐layer temporal stochastic configuration broad learning system for complex industrial soft sensing

Zero-shot learning augmented slow feature analysis for semantic-aware industrial process fault detection

Complex nonlinear industrial process fault detection and isolation using efficient dual-layer dynamic feature extraction

Bi-Level Fault Diagnosis for Chemical Processes Based on DIndRNN-MTodynet

Fault detection of multimode chemical processes using weighted density peak clustering and trend slow feature analysis

Chemical process fault diagnosis based on bi-level dynamic IndRNN

多阶段青霉素生产过程的故障检测研究

Information enhanced slow feature analysis integrated with prior fault data for sensitive monitoring of chemical processes

Chemical process fault detection and trend analysis based on KESN

Fault detection of complicated processes based on an enhanced transformer network with graph attention mechanism

Nonlinear predictable feature learning with explanatory reasoning for complicated industrial system fault diagnosis

Incipient fault detection of nonlinear chemical processes based on probability-related randomized slow feature analysis

Incipient fault detection for dynamic chemical processes based on enhanced CVDA integrated with probability information and fault-sensitive features

基于多阶段多核支持向量数据描述的间歇过程监控方法

基于张量分解的间歇过程故障诊断方法

基于能量加权高斯过程回归的锂离子电池健康状态预测

Incipient Fault Detection of Nonlinear Processes Based on Probablility Related SVDD in Local Variable Field

Two-Step Localized Kernel Principal Component Analysis Based Incipient Fault Diagnosis for Nonlinear Industrial Processes

Soft Sensor Modeling for Unobserved Multimode Nonlinear Processes Based on Modified Kernel Partial Least Squares With Latent Factor Clustering

A Batch Process Monitoring Method Using Two-Dimensional Localized Dynamic Support Vector Data Description

Variable Sub-Region Canonical Variate Analysis for Dynamic Process Monitoring

基于核典型RF的过程故障诊断

基于WPRKPCA的非线性化工过程微小故障检测

基于变量分组DTW-MCVA的不等长间歇过程故障检测方法

基于加权统计局部核主元分析的非线性化工过程微小故障诊断方法

Nonlinear Soft Sensor Modeling Method Based on Multimode Kernel Partial Least Squares Assisted by Improved KFCM Clustering

Semisupervised Classification for Industrial Process Faults Using Modified Fisher Discriminant Analysis Assisted by Stacked Autoencoder

An Enhanced Method to Assess MPC Performance Based on Multi-Step Slow Feature Analysis

Industrial Process Fault Classification Based on Weighted Stacked Extreme Learning Machine

Incipient Fault Diagnosis of Sucker Rod Pumping System Using Kullback Leibler Divergence Based Improved Kernel Principal Component Analysis

Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes

A Model Predictive Control Performance Monitoring and Grading Strategy Based on Improved Slow Feature Analysis

Understanding Subsynchronous Oscillations in DFIG-Based Wind Farms Without Series Compensation

基于双层局部KPCA的非线性过程微小故障检测方法

Fault Trend Prediction Based on A Combined Fault Model for Catalyst Deactivation

Batch process fault detection and identification based on discriminant global preserving kernel slow feature analysis

Multimode complex process monitoring using double‐level local information based local outlier factor method

Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis

Sub-synchronous oscillation in PMSGs based wind farms caused by amplification effect of GSC controller and PLL to harmonics

基于动态单类随机森林的非线性过程监控方法

基于PLS交叉积矩阵非相似度分析的MPC性能监控与诊断

基于MLFDA的化工过程故障模式分类方法

Dynamic process fault prediction using canonical variable trend analysis

Quality-Relevant Batch Process Fault Detection Using a Multiway Multi-Subspace CVA Method

一种基于DIOCVA的过程监控方法

基于FRICA算法的非高斯过程故障检测方法

基于协方差指标预测的MPC实时性能监控

一种基于子空间LQG基准的MPC性能分析方法

Minimum mean squared prediction error criterion based improved independent component analysis method for process monitoring

Artificial bee colony algorithm with modified search strategy

基于信息散度的过程故障检测与诊断

基于Unscented卡尔曼滤波新息的多变量序贯概率比检验故障检测方法

Seismic denoising based on modified BP neural network

基于SVM和Kalman预测的非线性系统故障预报

统计过程控制的研究现状及展望

基于典型变量分析状态残差的故障检测方法

会议论文

A Pruning Regularization Stochastic Configuration Network Algorithm Based on Node Contribution and Its Application in Soft Sensor Development

基于互信息和典型变量分析的故障诊断方法

基于核典型旋转森林的非线性动态过程故障诊断方法研究

书籍章节

Local and Global Unsupervised Kernel Extreme Learning Machine and Its Application in Nonlinear Process Fault Detection

研究方向