纪洪泉｜山东科技大学｜学者主页

2026

Incipient fault isolation for dynamic processes with the aid of extracted fault direction knowledge

Hongquan Ji, Yingxuan Shao

Journal of Process Control

DOI

2026

Incipient fault detection and isolation for non-stationary processes with common trend analysis and statistical feature extraction

Hongquan Ji, Chunyuan Zhang, Chengjun Jiang

Journal of Process Control

DOI

2026

Canonical Correlation Residual Score-Based Method for Quality-Related Fault Diagnosis in Industrial Processes

Long Gao, Hongquan Ji, Zhiwen Chen

IEEE Transactions on Automation Science and Engineering

DOI

2026

Stationary Correlation Subspace Analysis for Key-Performance-Indicator-Related Nonstationary Process Monitoring

Long Gao, Hongquan Ji, Junxing Che, Donghua Zhou

IEEE Transactions on Industrial Electronics

DOI

2026

Key-Performance-Indicator-Related Orthogonal Trend Subspace Analysis for Nonstationary Process Monitoring

Long Gao, Donghua Zhou, Hongquan Ji

IEEE Transactions on Industrial Informatics

DOI

2025

基于ANN和CCA的鲁棒过程监测

张文哲，纪洪泉，王友清

《控制工程》

DOI

2025

Quality-relevant monitoring for complex processes with both stationary and nonstationary variables

Hongquan Ji, Chengjun Jiang

Chemical Engineering Science

DOI

2025

Correlation-Aided Neural Network for Distributed Process Monitoring of Large-Scale Industrial Automation Systems

Long Gao, Zhiwen Chen, Hongquan Ji, Yichun Niu, Hairong Dong

IEEE Transactions on Industrial Informatics

DOI

2025

Two incipient fault detection methods: comparison and further analysis

Hongquan Ji

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

DOI

2025

Nonstationary Process Monitoring Based on Analytic Stationary Subspace Analysis: A Space Perspective

Long Gao, Donghua Zhou, Hongquan Ji

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

DOI

2025

Incipient Fault Detection and Isolation for Complex Non-Stationary Industrial Processes

Chunyuan Zhang, Yingxuan Shao, Hongquan Ji

Chinese Control and Decision Conference (CCDC)

DOI

2025

Cable Aging State Diagnosis Adapted from Frequency-Domain Dielectric Spectroscopy and Polarization–Depolarization Current

Y-B. Shang, Yang Zhao, Hongquan Ji, Jingyue Ma, Jiren Chen, Zi-Heng Li, Ke-Jia Wang, Ze-Peng Lv

Energies

DOI

2024

基于改进即时学习策略的非线性多模态过程故障检测方法

张玉昊，纪洪泉

《山东科技大学学报(自然科学版)》

2024

Incipient fault detection for dynamic processes with canonical variate residual statistics analysis

Hongquan Ji, Qingsen Hou, Yingxuan Shao, Yuhao Zhang

Chemometrics and Intelligent Laboratory Systems

DOI

2024

Incipient fault detection and isolation for dynamic processes with slow feature statistics analysis

Hongquan Ji, Ruixue Wang

Chemical Engineering Science

DOI

2024

Incipient fault detection with probability transformation and statistical feature analysis

Hongquan Ji, Wenqing Zhao, Nan Sheng

Automatica

DOI

2024

Fault detection and isolation for dynamic non-stationary processes with stationary subspace-based canonical variate analysis

Hongquan Ji, Nan Sheng, Huabo Liu, Keke Huang

Chemical Engineering Science

DOI

2024

Field strength prediction of 220 kV cable oil terminal defects based on multivariate nonlinear regression model

Zhigang Ren, Wei Guo, Hongquan Ji, Junwei Geng, Jing Cai, Ye-Kun Men, Bo Liu

Frontiers in Energy Research

DOI

2024

Simulation of characteristic gas diffusion of air switchgear

Yuan Gui, Hongquan Ji, Feng Xin, Ruo-Xi Liu, Zhi-Hui Wang, Zhong-Ge Luo

Other Conferences

DOI

2024

Arc Ignition Methods and Combustion Characteristics of Small-Current Arc Faults in High-Voltage Cables

Wei Guo, Jing Cai, Hongquan Ji, Hua-Chun Li, Zhigang Ren, Ye-Kun Men, Zehua Pan

Fire

DOI

2024

Study on the Configuration and Fire-Resistant Property of Cable Tunnel Fireproof Clapboard Based on Equivalent Fire Condition Testing

Jing Cai, Wei Guo, Hongquan Ji, Hua-Chun Li, Zhigang Ren, Zehua Pan, Ye-Kun Men

Fire

DOI

2024

Multi-Physical Quantity Detection of Buffer Layer Ablation under Air Gap Discharge Condition

Zhi-Gang Ren, Hongquan Ji, Yunfei Zhang, Hantao Hong, Hua-Chun Li, Jingcheng Zhang, Ming Wu, Jian-Ying Li, Jing-Hui Gao

IEEE International Conference on Properties and Applications of Dielectric Materials

DOI

2024

Panoramic Digital Modeling of Cable Sheath Monitoring Systems and Applications in Circulating Current Analysis

Zhigang Ren, Wei Guo, Zehua Pan, Bo Liu, Hongquan Ji, Yuanxi Li, Shiru Xu

2024 4th International Conference on Electrical Engineering and Control Science (IC2ECS)

DOI

2023

基于ISCNN-LightGBM的轴承故障诊断

张思源，纪洪泉，刘洋

《控制理论与应用》

2023

Modified performance-enhanced PCA for incipient fault detection of dynamic industrial processes

Hongquan Ji, Qingsen Hou, Dehao Wu

Journal of Process Control

DOI

2023

Multiple detectors-based Bayesian inference and statistics analysis for incipient fault detection

Ruixue Wang, Wenqing Zhao, Chao Cheng, Xiaoyu Zou, Hongquan Ji

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

DOI

2023

Atten-DilatedNet: fault diagnosis method of bearing for mine drilling rig

Guoqing Sun, Xiaoyu Zou, Jie Pan, Zhongbin Wang, Hongquan Ji, Dezhong Xin

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

DOI

2022

Quality-Related Fault Detection for Nonlinear Processes Based on Neural Orthonormal Subspace Analysis

Xuning Lin, Rongrong Sun, Hongquan Ji, Youqing Wang

China Automation Congress (CAC)

DOI

2022

Fault Detection and Classification of the High-Speed Train Air Brake System with an Exter-Variable Variance Index

Nan Sheng, Hongquan Ji

Youth Academic Annual Conference of Chinese Association of Automation (YAC)

DOI

2022

Data-Driven Sensor Fault Diagnosis Under Closed-Loop Control With Slow Feature Analysis

Hongquan Ji

IEEE Sensors Journal

DOI

2022

Incipient Sensor Fault Detection by Directly Monitoring Sliding Window Based Singular Values*

Wenqing Zhao, Hao Luo, Qiang Liu, Hongquan Ji, Nan Sheng

IFAC-PapersOnLine

DOI

2021

Improved multiclass support vector data description for planetary gearbox fault diagnosis

Hui Hou, Hongquan Ji

Control Engineering Practice

DOI

2021

Recursive Correlative Statistical Analysis Method With Sliding Windows for Incipient Fault Detection

Yihao Qin, Yayun Yan, Hongquan Ji, Youqing Wang

IEEE Transactions on Industrial Electronics

DOI

2021

Optimization-Based Incipient Fault Isolation for the High-Speed Train Air Brake System

Hongquan Ji

IEEE Transactions on Instrumentation and Measurement

DOI

2021

Nonstationary Process Monitoring Using Sparse Stationary Subspace Analysis

Dehao Wu, Donghua Zhou, Maoyin Chen, Hongquan Ji, Yanwen Wang, Xiaopeng Xi

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

DOI

2020

Adaptive process monitoring via online dictionary learning and its industrial application

Keke Huang, Yiming Wu, Cheng Long, Hongquan Ji, Bei Sun, Xiaofang Chen, Chunhua Yang

ISA Transactions

DOI

2020

Incipient fault detection of the high-speed train air brake system with a combined index

Hongquan Ji, Donghua Zhou

Control Engineering Practice

DOI

2020

Statistics Mahalanobis distance for incipient sensor fault detection and diagnosis

Hongquan Ji

Chemical Engineering Science

DOI

2020

Detection of intermittent faults based on an optimally weighted moving average T2 control chart with stationary observations

Yinghong Zhao, Xiao Hui He, Junfeng Zhang, Hongquan Ji, Donghua Zhou, MICHAEL G. PECHT

Automatica

DOI

2020

Detection of sensor precision degradation by monitoring second-order statistics

Hui Hou, Hongquan Ji

IFAC-PapersOnLine

DOI

2019

Generalized grouped contributions for hierarchical fault diagnosis with group Lasso

Chao Shang, Hongquan Ji, Xiaolin Huang, Fan Yang, Dexian Huang

Control Engineering Practice

DOI

2019

Nonlinear process monitoring using kernel dictionary learning with application to aluminum electrolysis process

Keke Huang, Haofei Wen, Hongquan Ji, Lihui Cen, Xiaofang Chen, Chunhua Yang

Control Engineering Practice

DOI

2019

Incipient sensor fault isolation based on augmented Mahalanobis distance

Hongquan Ji, Keke Huang, Donghua Zhou

Control Engineering Practice

DOI

2019

Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis

Jun Shang, Donghua Zhou, Maoyin Chen, Hongquan Ji, Hanwen Zhang

Journal of Process Control

DOI

2018

高速列车信息控制系统的故障诊断技术

周东华，纪洪泉，何潇

《自动化学报》

DOI

2018

Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process

Chunhua Yang, Longfei Zhou, Keke Huang, Hongquan Ji, Cheng Long, Xiaofang Chen, Yongfang Xie

Neurocomputing

DOI

2018

A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors

Dingfei Guo, Maiying Zhong, Hongquan Ji, Yang Liu, Rui Yang

Neurocomputing

DOI

2018

Increment-based recursive transformed component statistical analysis for monitoring blast furnace iron-making processes: An index-switching scheme

Jun Shang, Maoyin Chen, Hanwen Zhang, Hongquan Ji, Donghua Zhou, Haifeng Zhang, Mingliang Li

Control Engineering Practice

DOI

2018

Isolating incipient sensor fault based on recursive transformed component statistical analysis

Jun Shang, Maoyin Chen, Hongquan Ji, Donghua Zhou

Journal of Process Control

DOI

2018

Smoothed Fisher Discriminant Analysis for Incipient Fault Diagnosis

Hongquan Ji, Youqing Wang, Zhiwen Chen

Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

DOI

2018

Exponential Smoothing Reconstruction Approach for Incipient Fault Isolation

Hongquan Ji, Xiao Hui He, Jun Shang, Donghua Zhou

Industrial & Engineering Chemistry Research

DOI

2015

基于多元统计分析的故障检测方法

纪洪泉，何潇，周东华

《上海交通大学学报》

精选作品

期刊论文

Incipient fault isolation for dynamic processes with the aid of extracted fault direction knowledge

Incipient fault detection and isolation for non-stationary processes with common trend analysis and statistical feature extraction

Canonical Correlation Residual Score-Based Method for Quality-Related Fault Diagnosis in Industrial Processes

Stationary Correlation Subspace Analysis for Key-Performance-Indicator-Related Nonstationary Process Monitoring

Key-Performance-Indicator-Related Orthogonal Trend Subspace Analysis for Nonstationary Process Monitoring

基于ANN和CCA的鲁棒过程监测

Quality-relevant monitoring for complex processes with both stationary and nonstationary variables

Correlation-Aided Neural Network for Distributed Process Monitoring of Large-Scale Industrial Automation Systems

Two incipient fault detection methods: comparison and further analysis

Nonstationary Process Monitoring Based on Analytic Stationary Subspace Analysis: A Space Perspective

Incipient Fault Detection and Isolation for Complex Non-Stationary Industrial Processes

Cable Aging State Diagnosis Adapted from Frequency-Domain Dielectric Spectroscopy and Polarization–Depolarization Current

基于改进即时学习策略的非线性多模态过程故障检测方法

Incipient fault detection for dynamic processes with canonical variate residual statistics analysis

Incipient fault detection and isolation for dynamic processes with slow feature statistics analysis

Incipient fault detection with probability transformation and statistical feature analysis

Fault detection and isolation for dynamic non-stationary processes with stationary subspace-based canonical variate analysis

Field strength prediction of 220 kV cable oil terminal defects based on multivariate nonlinear regression model

Simulation of characteristic gas diffusion of air switchgear

Arc Ignition Methods and Combustion Characteristics of Small-Current Arc Faults in High-Voltage Cables

Study on the Configuration and Fire-Resistant Property of Cable Tunnel Fireproof Clapboard Based on Equivalent Fire Condition Testing

Multi-Physical Quantity Detection of Buffer Layer Ablation under Air Gap Discharge Condition

Panoramic Digital Modeling of Cable Sheath Monitoring Systems and Applications in Circulating Current Analysis

基于ISCNN-LightGBM的轴承故障诊断

Modified performance-enhanced PCA for incipient fault detection of dynamic industrial processes

Multiple detectors-based Bayesian inference and statistics analysis for incipient fault detection

Atten-DilatedNet: fault diagnosis method of bearing for mine drilling rig

Quality-Related Fault Detection for Nonlinear Processes Based on Neural Orthonormal Subspace Analysis

Fault Detection and Classification of the High-Speed Train Air Brake System with an Exter-Variable Variance Index

Data-Driven Sensor Fault Diagnosis Under Closed-Loop Control With Slow Feature Analysis

Incipient Sensor Fault Detection by Directly Monitoring Sliding Window Based Singular Values*

Improved multiclass support vector data description for planetary gearbox fault diagnosis

Recursive Correlative Statistical Analysis Method With Sliding Windows for Incipient Fault Detection

Optimization-Based Incipient Fault Isolation for the High-Speed Train Air Brake System

Nonstationary Process Monitoring Using Sparse Stationary Subspace Analysis

Adaptive process monitoring via online dictionary learning and its industrial application

Incipient fault detection of the high-speed train air brake system with a combined index

Statistics Mahalanobis distance for incipient sensor fault detection and diagnosis

Detection of intermittent faults based on an optimally weighted moving average T2 control chart with stationary observations

Detection of sensor precision degradation by monitoring second-order statistics

Generalized grouped contributions for hierarchical fault diagnosis with group Lasso

Nonlinear process monitoring using kernel dictionary learning with application to aluminum electrolysis process

Incipient sensor fault isolation based on augmented Mahalanobis distance

Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis

高速列车信息控制系统的故障诊断技术

Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process

A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors

Increment-based recursive transformed component statistical analysis for monitoring blast furnace iron-making processes: An index-switching scheme

Isolating incipient sensor fault based on recursive transformed component statistical analysis

Smoothed Fisher Discriminant Analysis for Incipient Fault Diagnosis

Exponential Smoothing Reconstruction Approach for Incipient Fault Isolation

基于多元统计分析的故障检测方法

会议论文

故障相关特征分析方法及其在过程监测中的应用

研究方向