邓晓刚

2026

Fault diagnosis of the air handling unit via combining a cross-attention fused spatio-temporal parallel transformer with an enhanced ensemble adaptive classification strategy

ISA Transactions

DOI

2026

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

Chinese Control and Decision Conference (CCDC)

DOI

2026

Evolving fault detection for chemical processes via probe-recall deep SVDD with adaptive attention and contrastive memory

Process Safety and Environmental Protection

DOI

2026

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

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Enhanced anomaly detection of industrial control systems via graph-driven spatio-temporal adversarial deep support vector data description

Expert Systems With Applications，Vol. 270

DOI

2025

基于改进随机配置网络的工业软测量建模实验

《实验室研究与探索》

2025

Chemical process fault diagnosis based on bi-level dynamic IndRNN

Chemical Engineering and Science

DOI

2025

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

2025 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)

DOI

2025

A Sensitive Efficient Multiple Predictable Feature Extraction and Fusion Method for Complicated Industrial Fault Detection*

Chemometrics and Intelligent Laboratory Systems

DOI

2025

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

Engineering applications of artificial intelligence

DOI

2025

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

Chemical engineering research & design

DOI

2025

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

Chinese Control and Decision Conference

DOI

2024

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

Chemical engineering research & design

DOI

2024

Information Enhanced Slow Feature Analysis Integrated with Prior Fault Data for Sensitive Monitoring of Chemical Processes

Chemical engineering research & design

DOI

2024

Chemical process fault detection and trend analysis based on KESN

Canadian Journal of Chemical Engineering

DOI

2024

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

Knowledge-Based Systems

DOI

2024

Spatial-Temporal Causality Modeling for Industrial Processes With a Knowledge-Data Guided Reinforcement Learning

IEEE Transactions on Industrial Informatics

DOI

2023

Chemical process fault detection using modified CVDA with memory mechanism

2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2023

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

Chemical engineering research & design

DOI

2023

A nonlinear industrial soft sensor modeling method based on locality preserving stochastic configuration network with utilizing unlabeled samples.

ISA transactions

DOI

2023

One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection

IEEE Transactions on Instrumentation and Measurement

DOI

2023

A Deep Supervised Learning Framework Based on Kernel Partial Least Squares for Industrial Soft Sensing

IEEE Transactions on Industrial Informatics

DOI

2022

基于改进慢特征分析的CSTR故障诊断方法与实验平台

《实验技术与管理》

2022

基于加权概率CVDA的动态化工系统微小故障检测

《化工学报》

2022

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

Journal of Process Control

DOI

2022

Domain Adaptation Mixture of Gaussian Processes for Online Soft Sensor Modeling of Multimode Processes When Sensor Degradation Occurs

IEEE Transactions on Industrial Informatics

DOI

2022

A Unified Just-in-Time Learning Paradigm and Its Application to Adaptive Soft Sensing for Nonlinear and Time-Varying Chemical Process

Chemical Engineering and Science

DOI

2022

Semi-supervised echo state network with temporal-spatial graph regularization for dynamic soft sensor modeling of industrial processes.

ISA transactions

DOI

2022

Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

基于加权深度支持向量数据描述的工业过程故障检测

《化工学报》

2021

Weighted Wasserstein Distance-based Improved Serial Principal Component Analysis for Incipient Fault Detection of Complex Industrial Process

2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)

DOI

2021

A fault diagnosis method based on mutual information and canonical variate analysis

Chinese Control and Decision Conference

DOI

2021

Efficient batch process monitoring based on random nonlinear feature analysis

Canadian Journal of Chemical Engineering

DOI

2021

Deep Convolutional Feature-Based Probabilistic SVDD Method for Monitoring Incipient Faults of Batch Process

Energies

DOI

2021

Double-Level Locally Weighted Extreme Learning Machine for Soft Sensor Modeling of Complex Nonlinear Industrial Processes

IEEE Sensors Journal

DOI

2021

Nonlinear Industrial Fault Detection Method Based on Bayesian Randomized Principal Component Analysis

ACM Cloud and Autonomic Computing Conference

DOI

2020

基于张量分解的间歇过程故障诊断方法

《高校化学工程学报》

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

《中国石油大学学报(自然科学版)》

2020

面向复杂工况模拟与识别的有杆抽油系统仿真平台开发

《实验技术与管理》

2020

Dynamic nonlinear batch process fault detection and identification based on two‐directional dynamic kernel slow feature analysis

DOI

2020

Incipient fault detection for nonlinear processes based on dynamic multi-block probability related kernel principal component analysis.

ISA transactions

DOI

2020

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

ACM Cloud and Autonomic Computing Conference

DOI

2020

Variable Sub-Region Canonical Variate Analysis for Dynamic Process Monitoring

IEEE Access

DOI

2020

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

IEEE Access

DOI

2020

Improved Convolutional Neural Network Based on Multi-head Attention Mechanism for Industrial Process Fault Classification

2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2020

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

DOI

2020

Nonlinear Chemical Process Fault Diagnosis Using Ensemble Deep Support Vector Data Description

Italian National Conference on Sensors

DOI

2020

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

IEEE Access

DOI

2019

基于WPRKPCA的非线性化工过程微小故障检测

《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

《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

《化工学报》

2019

基于核典型RF的过程故障诊断

《控制工程》

2019

Fault diagnosis of sucker rod pumping system using modified extreme learning machine assisted by gravitational search algorithm

Chinese Control and Decision Conference

DOI

2019

Double-level local SVDD based monitoring approach for batch processes

IEEE International Conference on Electronic Measurement & Instruments

DOI

2019

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

ACM Cloud and Autonomic Computing Conference

DOI

2019

Incipient Fault Detection for Chemical Processes Using Two-Dimensional Weighted SLKPCA

Industrial & Engineering Chemistry Research

DOI

2019

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

IEEE Access

DOI

2019

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

2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2019

Nonlinear Process Monitoring Based on Global Preserving Unsupervised Kernel Extreme Learning Machine

IEEE Access

DOI

2019

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

Energies

DOI

2019

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

IEEE Access

DOI

2019

Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring

IEEE Transactions on Control Systems Technology

DOI

2019

Industrial Process Fault Classification Based on Weighted Stacked Extreme Learning Machine

2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2019

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

ACM Cloud and Autonomic Computing Conference

DOI

2018

数据驱动的模拟电路故障诊断实验平台

《实验技术与管理》

2018

基于双层局部KPCA的非线性过程微小故障检测方法

《化工学报》

2018

基于深度集成支持向量机的工业过程软测量方法

《化工学报》

2018

基于贝叶斯ICA的多工况非高斯过程故障检测

《控制工程》

2018

基于改进MKECA的间歇过程故障检测方法研究

《控制工程》

2018

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

Journal of Chemometrics

DOI

2018

Nonlinear Process Monitoring Based on Multi-block Dynamic Kernel Principal Component Analysis

World Congress on Intelligent Control and Automation

DOI

2018

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

ISA transactions

DOI

2018

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

Neurocomputing

DOI

2018

Improved Kernel Fisher Discriminant Analysis for Nonlinear Process Fault Pattern Recognition

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2018

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

ACM Cloud and Autonomic Computing Conference

DOI

2018

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis

IEEE Transactions on Neural Networks and Learning Systems

DOI

2018

Multi-Block Principal Component Analysis Based on Variable Weight Information and its Application to Multivariate Process Monitoring†

DOI

2017

基于多阶段多向核熵成分分析的间歇过程故障检测方法

《化工学报》

2017

基于动态单类随机森林的非线性过程监控方法

《化工学报》

2017

基于MLFDA的化工过程故障模式分类方法

《山东大学学报(工学版)》

2017

Multimode process fault detection method using local neighborhood standardization based multi-block principal component analysis

Chinese Control and Decision Conference

DOI

2017

Modified kernel principal component analysis using double-weighted local outlier factor and its application to nonlinear process monitoring.

ISA transactions

DOI

2017

Multimode non‐Gaussian process monitoring based on local entropy independent component analysis

DOI

2017

Fault discriminant enhanced kernel principal component analysis incorporating prior fault information for monitoring nonlinear processes

DOI

2017

Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis

IEEE Access

DOI

2017

Nonlinear Multimode Industrial Process Fault Detection Using Modified Kernel Principal Component Analysis

IEEE Access

DOI

2017

Dynamic process fault prediction using canonical variable trend analysis

ACM Cloud and Autonomic Computing Conference

DOI

2017

Deep learning based nonlinear principal component analysis for industrial process fault detection

IEEE International Joint Conference on Neural Network

DOI

2017

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

IEEE Access

DOI

2016

基于变量子域PCA的故障检测方法

《化工学报》

2016

基于ICA混合模型的多工况过程故障诊断方法

《化工学报》

2016

A dynamic nonlinear process fault diagnosis method using Canonical rotation forest

Cybersecurity and Cyberforensics Conference

DOI

2016

正準回転森林を用いた動的非線形プロセスの故障診断法【Powered by NICT】

2016

Local entropy principal component analysis and its application for multimode process monitoring

World Congress on Intelligent Control and Automation

DOI

2016

Fault detection of multimode non-Gaussian dynamic process using dynamic Bayesian independent component analysis

Neurocomputing

DOI

2016

ICA混合モデルに基づくマルチプロセス故障診断方法【JST・京大機械翻訳】

2016

Statistics local fisher discriminant analysis for industrial process fault classification

Control

DOI

2015

基于LECA的多工况过程故障检测方法

《化工学报》

2015

基于CUS-MICA的间歇过程故障诊断

《控制工程》

2015

数据驱动的抽油机井实时故障诊断实验平台

《实验技术与管理》

2015

Multiple Component Analysis and Its Application in Process Monitoring With Prior Fault Data

DOI

2015

Nonlinear multimode process fault detection based on KNN-KICA

Chinese Control and Decision Conference

DOI

2015

Process fault detection based on dynamic kernel slow feature analysis

Computers & electrical engineering

DOI

2015

Online soft sensor design using local partial least squares models with adaptive process state partition

DOI

2015

A kind of multivariate industrial process fault recognition method

2015

A Nonlinear Quality-relevant Process Monitoring Method with Kernel Input-output Canonical Variate Analysis

DOI

2015

A local and global statistics pattern analysis method and its application to process fault identification

DOI

2014

Entropy principal component analysis and its application to nonlinear chemical process fault diagnosis

DOI

2014

Multimode Process Fault Detection Using Local Neighborhood Similarity Analysis

DOI

2013

基于SPA相似系数的故障识别方法

《化工学报》

2013

Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor

Neurocomputing

DOI

2013

Nonlinear process monitoring using dynamic kernel slow feature analysis and support vector data description

Chinese Control and Decision Conference

DOI

2013

Modified kernel principal component analysis based on local structure analysis and its application to nonlinear process fault diagnosis

DOI

2013

Sparse Kernel Locality Preserving Projection and Its Application in Nonlinear Process Fault Detection

DOI

2013

Nonlinear Process Fault Detection Based on Multi-Scale Sparse Kernel Classifier

DOI

2012

基于动态独立成分的单类支持向量机方法及其在故障诊断中的应用

《中国石油大学学报(自然科学版)》

2012

Nonlinear Process Monitoring Using Dynamic Sparse Kernel Classifier

DOI

2012

Nonlinear process fault diagnosis based on slow feature analysis

Proceedings of the 10th World Congress on Intelligent Control and Automation

DOI

2012

Fault pattern recognition using dynamic independent component based sparse kernel classifier

Proceedings of the 31st Chinese Control Conference

2011

一种引入动量项的小波神经网络软测量建模方法

《化工学报》

2011

基于DMVU-OCSVM的故障诊断方法

《化工学报》

2011

Fault diagnosis method based on multiple sparse kernel classifiers

The Fourth International Workshop on Advanced Computational Intelligence

DOI

2011

A new fault isolation method based on unified contribution plots

Proceedings of the 30th Chinese Control Conference

2011

Soft sensing based on wavelet neural networks with momentum

2010

基于Kalman-OLS的聚丙烯熔融指数软测量

《控制工程》

2010

Soft sensor for polypropylene melt index based on improved orthogonal least squares

World Congress on Intelligent Control and Automation

DOI

2009

基于AKPLS方法的聚丙烯熔融指数软测量

《化工自动化及仪表》

2009

基于非线性主元子空间的故障模式识别方法

《系统仿真学报》

DOI

2009

基于SKICA的非线性过程缓变故障检测方法研究

《仪器仪表学报》

DOI

2009

Multiway kernel independent component analysis based on feature samples for batch process monitoring

Neurocomputing

DOI

2008

基于鲁棒主元分析的故障诊断方法

《中国石油大学学报(自然科学版)》

2008

基于鲁棒规范变量分析的故障诊断方法

《控制与决策》

2008

A fault detection method using multi-scale kernel principal component analysis

Cybersecurity and Cyberforensics Conference

DOI

2006

基于核规范变量分析的非线性故障诊断方法

《控制与决策》

2006

Fault Diagnosis Method Based on Independent Component Analysis and Dynamic Time Warping

World Congress on Intelligent Control and Automation

DOI

2006

INFERENTIAL CONTROL BASED ON A MODIFIED QPLS FOR AN INDUSTRIAL FCCU FRACTIONATOR

DOI

2006

MULTIVARIATE STATISTICAL PROCESS MONITORING USING MULTI-SCALE KERNEL PRINCIPAL COMPONENT ANALYSIS

DOI

2005

生产过程故障诊断方法研究现状及展望

《中国石油大学学报(自然科学版)》

2022

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

《第34届中国控制与决策会议论文集（1）》

DOI

2021

基于互信息和典型变量分析的故障诊断方法

《第33届中国控制与决策会议论文集（7）》

DOI

2017

Multimode process fault detection method based on variable local outlier factor

International Conference on Modelling, Identification and Control

DOI

2016

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

《第27届中国过程控制会议（CPCC2016）摘要集》

2005

一种基于KPCA的非线性故障诊断方法

《第16届中国过程控制学术年会暨第4届全国故障诊断与安全性学术会议》