胡文凯｜中国地质大学(武汉)｜学者主页

2026

Establishment of Non-Convex Normal Operating Zone Based on Grid Partitioning for Multivariate Alarm Systems

Wenkai Hu, Yujie Wei, Jiandong Wang, Mengyao Wei, I. Izadi

IEEE Transactions on Automation Science and Engineering

DOI

2026

A knowledge-informed multi-scale feature extraction siamese neural network for bearing fault diagnosis in few-shot scenarios

Xiong-Bo Wan, Zi-Xu Wang, Wei-Jie Kang, Guo-Dong Duan, Ya-Dong Zhao, Wenkai Hu

Neurocomputing

DOI

2026

Multi-dimensional sequence embedding and improved Informer for prediction of industrial alarm events

Wenbin Jiang, Wenkai Hu, Yu-Peng Li, Weihua Cao

Reliability Engineering & System Safety

DOI

2026

Sequence Alignment and Dual-Graph Fusion-Based Manifold Regularization for Root-Cause Identification of Industrial Alarm Floods

Ning Chen, Wenkai Hu, Jun Shang, Haniyeh Seyed Alinezhad

IEEE Transactions on Industrial Informatics

DOI

2026

Hierarchical Causal Graph Neural Networks With Cascading Failure Analysis for Complex Systems Root Cause Identification

Kai Zhong, Yingcheng Xu, Ying-Lai Deng, Wenkai Hu, Fan Yang

IEEE Transactions on Systems, Man & Cybernetics. Systems

DOI

2026

A novel bidirectional triangular graph neural network model for multi-domain parameter correlation reasoning in production lines

Douxi Yan, Wenkai Hu, Jiewu Leng, Ding Zhang, Shi-Min Liu, Qiang Liu, Xin Chen

International Journal of Production Research

DOI

2025

A dual-channel signals-based method for pipeline leak detection by signal reconstruction and deep feature fusion

Zhe-Yi Zhang, Weihua Cao, Wenkai Hu, Min Wu

Chemical engineering research & design

DOI

2025

An ensemble multivariate detection method for steady-state drift in process industries

Wen-Shuo Song, Weihua Cao, Yan Yuan, Wenkai Hu

Science China Information Sciences

DOI

2025

Drill bit failure detection for drilling processes based on global–local feature extraction and multi-stage incremental learning

Peng Zhang, Wenkai Hu, Yu-Peng Li, Weihua Cao

Journal of Process Control

DOI

2025

Discovering alarm event causality based on neural point process modeling with topology constraint for root cause analysis

Xiang-Xiang Zhang, Wenkai Hu, R. B. Gopaluni

Control Engineering Practice

DOI

2025

An improved EEMD-GCC method for pipeline leak detection and localization with maglev vibration detector

Zhe-Yi Zhang, Weihua Cao, Wenkai Hu

Measurement

DOI

2025

Anomaly detection for drilling tools based on operating mode recognition and interval-augmented Mahalanobis distance

Wenkai Hu, Bin Hu, Yu-Peng Li, Peng Zhang, R. B. Gopaluni, Weihua Cao

Control Engineering Practice

DOI

2025

Spatiotemporal feature fusion modeling for multistep prediction of strip temperature in continuous annealing processes

Jiang He, Wei-Hua Cao, Wenkai Hu, Linwei Guo, Min Wu

Control Engineering Practice

DOI

2024

Multi-working condition performance assessment based on knowledge extraction of optimal operating states for continuous annealing processes

Jiang He, Weihua Cao, Wenkai Hu, Wenshuo Song, Min Wu

International Journal Of Systems Science，Vol. 550, No. 5

DOI

2024

智能制造大数据分析技术及应用导论

胡文凯

2024

Incident Detection Adapting to the Drilling Depth for Geological Drilling Processes Based on Domain Adversarial Dual Graph Convolutional Network

Peng Zhang, Wenkai Hu, Jing Zhou, Wei-Hua Cao

IEEE Transactions on Instrumentation and Measurement

DOI

2024

A multi-feature-based fault diagnosis method based on the weighted timeliness broad learning system

Wenkai Hu, Yan Wang, Yu-Peng Li, Xiong-Bo Wan, R. B. Gopaluni

Chemical engineering research & design

DOI

2024

Root Cause Identification of Industrial Alarm Floods Using Word Embedding and Few-Shot Learning

Wenkai Hu, Guang Yang, Yupeng Li, Weihua Cao, Min Wu

IEEE Transactions on Industrial Informatics

DOI

2024

Multi-fault diagnosis and fault degree identification in hydraulic systems based on fully convolutional networks and deep feature fusion

Peng Zhang, Wenkai Hu, Weihua Cao, Luefeng Chen, Min Wu

Neural computing & applications (Print)

DOI

2024

Improved similarity analysis of industrial alarm flood sequences by considering alarm correlations

Xiang-Xiang Zhang, Wenkai Hu, Ahmad W. Al-Dabbagh, Jiandong Wang

Journal of Process Control

DOI

2023

Cloud-Edge Cooperative Control System in Continuous Annealing Processes

Wen-Shuo Song, Weihua Cao, Wenkai Hu, Min Wu

Journal of Advanced Computational Intelligence and Intelligent Informatics

DOI

2023

Early warning of drillstring faulty conditions based on multi-model fusion in geological drilling processes

Yupeng Li, Weihua Cao, R. B. Gopaluni, Wenkai Hu, Min Wu

Journal of Process Control

DOI

2023

Pattern Matching of Industrial Alarm Floods Using Word Embedding and Dynamic Time Warping

Wenkai Hu, Xiang-Xiang Zhang, Jiandong Wang, Guang Yang, Yuxin Cai

IEEE CAA J. Autom. Sinica

DOI

2023

Frequent Event Pattern Extraction of Drilling Time Series Using Change Point Detection and Event Sequence Generation

Yupeng Li, Wenkai Hu, Weihua Cao, R. B. Gopaluni, Liang Cao, Chao Gan, Min Wu

IFAC-PapersOnLine

DOI

2023

Similarity Analysis of Industrial Alarm Floods Based on Word Embedding and Move-Split-Merge Distance

Xiang-Xiang Zhang, Wenkai Hu, Ahmad W. Al-Dabbagh, Wei-Hua Cao

Industrial Cyber-Physical Systems

DOI

2023

A new transfer entropy approach based on information granulation and clustering for root cause analysis

Xiang-Xiang Zhang, Wenkai Hu, F. Yang, Weihua Cao, Min Wu

Control Engineering Practice

DOI

2023

A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods

Wenkai Hu, Zhuang Wang, Jiandong Wang

Journal of Process Control

DOI

2023

Anomaly Detection and Alarm Limit Design for In-Hole Bit Bounce Based on Interval Augmented Mahalanobis Distance

Bin Hu, Wenkai Hu, P. Zhang, Weihua Cao

NCAA

DOI

2023

Unsupervised anomalous sound detection for industrial monitoring based on ArcFace classifier and gaussian mixture model

J. Wu, Fei-yu Yang, Wenkai Hu

Applied Acoustics

DOI

2023

An association rule mining approach to predict alarm events in industrial alarm floods

Md Rezwan Parvez, Wenkai Hu, Tong-Wen Chen

Control Engineering Practice

DOI

2023

False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis

Yupeng Li, Weihua Cao, R. B. Gopaluni, Wenkai Hu, Liang Cao, Min Wu

Control Engineering Practice

DOI

2023

Bit Bounce Detection for Drilling Process Based on Multi-Feature Graph and Graph Convolutional Network

Peng Zhang, Wenkai Hu, Weihua Cao, Min Wu, Jiandong Wang

Annual Conference of the IEEE Industrial Electronics Society

DOI

2023

A similarity analysis method for hybrid sequences of alarm events and trend events

Zhe Wang, Wenkai Hu, Yu-Peng Li, Xiong-Bo Wan, Weihua Cao

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

DOI

2022

Identification and Evaluation of Blast Furnace Condition Based on Spatio-Temporal Feature Extraction

Zhe-Yi Zhang, Weihua Cao, Wen-Shuo Song, Wenkai Hu, Min Wu

Asian Control Conference

DOI

2022

Detection of Cause-Effect Relations Based on Information Granulation and Transfer Entropy

Xiang-Xiang Zhang, Wenkai Hu, F. Yang

Entropy

DOI

2022

Analysis of time-varying cause-effect relations based on qualitative trends and change amplitudes

Wenkai Hu, Jiandong Wang, Fan Yang, Banglei Han, Zhen Wang

Computers and Chemical Engineering

DOI

2022

Real-time pattern matching and ranking for early prediction of industrial alarm floods

Md Rezwan Parvez, Wenkai Hu, Tong-Wen Chen

Control Engineering Practice

DOI

2022

Multi-Fault Diagnosis of Hydraulic Systems Based on Fully Convolutional Networks

P. Zhang, Wenkai Hu, Weihua Cao, Luefeng Chen, Min Wu

Asian Control Conference

DOI

2022

Pattern Extraction From Industrial Alarm Flood Sequences by a Modified CloFAST Algorithm

Boyuan Zhou, Wenkai Hu, Tong-Wen Chen

IEEE Transactions on Industrial Informatics

DOI

2021

Abnormality Detection for Drilling Processes Based on Jensen–Shannon Divergence and Adaptive Alarm Limits

Yupeng Li, Weihua Cao, Wenkai Hu, Min Wu

IEEE Transactions on Industrial Informatics

DOI

2021

Identification of downhole conditions in geological drilling processes based on quantitative trends and expert rules

Yupeng Li, Weihua Cao, Wenkai Hu, Min Wu

Neural computing & applications (Print)

DOI

2021

Performance Assessment Index in Continuous Annealing Processes by Extracting Reference Curve of Operating Modes

Wen-Shuo Song, Weihua Cao, Wenkai Hu, Yan Yuan, Min Wu

Industrial Cyber-Physical Systems

DOI

2021

Detection of downhole incidents for complex geological drilling processes using amplitude change detection and dynamic time warping

Yupeng Li, Weihua Cao, Wenkai Hu, Min Wu

DOI

2021

Generalized Pattern Matching of Industrial Alarm Flood Sequences via Word Processing and Sequence Alignment

Boyuan Zhou, Wenkai Hu, Kevin Brown, Tong-Wen Chen

IEEE transactions on industrial electronics (1982. Print)

DOI

2021

Identification of root cause alarms by detecting correlations and time delays between alarm variables

Xin Cheng, Wenkai Hu, Weihua Cao, Min Wu

ACM Cloud and Autonomic Computing Conference

DOI

2021

Incipient fault detection for geological drilling processes using multivariate generalized Gaussian distributions and Kullback–Leibler divergence

Yupeng Li, Weihua Cao, Wenkai Hu, Ying Xiong, Min Wu

Control Engineering Practice

DOI

2021

A fault diagnosis method based on multi-feature fusion and broad learning system

Yan Wang, Wenkai Hu, Weihua Cao, Min Wu

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

DOI

2020

Deep learning technique for process fault detection and diagnosis in the presence of incomplete data

Cen Guo, Wenkai Hu, Fan Yang, Dexian Huang

DOI

2020

Downhole Condition Identification for Geological Drilling Processes Based on Qualitative Trend Analysis and Expert Rules

Yupeng Li, Weihua Cao, Wenkai Hu, Min Wu

NCAA

DOI

2020

Comparison of the Smith-Waterman and Needleman-Wunsch algorithms for online similarity analysis of industrial alarm floods

Md Rezwan Parvez, Wenkai Hu, Tong-Wen Chen

Electrical Power and Energy Conference

DOI

2020

Diagnosis of downhole incidents for geological drilling processes using multi-time scale feature extraction and probabilistic neural networks

Yupeng Li, Weihua Cao, Wenkai Hu, Min Wu

DOI

2020

Identification of multiple operating modes based on fused features for continuous annealing processes

Wen-Shuo Song, Weihua Cao, Wenkai Hu, Min Wu

Information Sciences

DOI

2020

An Efficient Method to Discover Association Rules of Mode-Dependent Alarms Based on the FP-Growth Algorithm

K. Wang, Wenkai Hu, Tong-Wen Chen

Electrical Power and Energy Conference

DOI

2020

Fault detection for geological drilling processes using multivariate generalized Gaussian distribution and Kullback Leibler divergence

Yupeng Li, Weihua Cao, Wenkai Hu, Chao Gan, Min Wu

DOI

2019

Constructing workflow models of alarm responses via trace labeling and dependency analysis

Wenkai Hu, Tong-Wen Chen, Gordon A. Meyer

Annual Conference of the Society of Instrument and Control Engineers of Japan

DOI

2019

A Data Driven Method to Detect First-Out Alarms Based on Alarm Occurrence Events

Wenkai Hu, Tong-Wen Chen

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

DOI

2019

Cross-process alarm flood similarity analysis based on abstracted alarm descriptors

Boyuan Zhou, Wenkai Hu, Tong-Wen Chen

International Symposium on Industrial Electronics

DOI

2019

A New Method for Alarm Monitoring of Equipment Start-Up Operations with Applications to Pumps

Boyuan Zhou, Wenkai Hu, Tong-Wen Chen

Industrial & Engineering Chemistry Research

DOI

2018

Toward the Advancement of Decision Support Tools for Industrial Facilities: Addressing Operation Metrics, Visualization Plots, and Alarm Floods

Ahmad W. Al-Dabbagh, Wenkai Hu, Shiqi Lai, Tong-Wen Chen, Sirish L. Shah

IEEE Transactions on Automation Science and Engineering

DOI

2018

Extraction and Graphical Representation of Operator Responses to Multivariate Alarms in Industrial Facilities

Wenkai Hu, Ahmad W. Al-Dabbagh, David Li, Tong-Wen Chen

DOI

2018

Detection of Frequent Alarm Patterns in Industrial Alarm Floods Using Itemset Mining Methods

Wenkai Hu, Tong-Wen Chen, Sirish L. Shah

IEEE transactions on industrial electronics (1982. Print)

DOI

2018

Design of visualization plots of industrial alarm and event data for enhanced alarm management

Wenkai Hu, Ahmad W. Al-Dabbagh, Tong-Wen Chen, Sirish L. Shah

Control Engineering Practice

DOI

2018

Discovering Association Rules of Mode-Dependent Alarms From Alarm and Event Logs

Wenkai Hu, Tong-Wen Chen, Sirish L. Shah

IEEE Transactions on Control Systems Technology

DOI

2017

Framework for a smart data analytics platform towards process monitoring and alarm management

Wenkai Hu, Sirish L. Shah, Tong-Wen Chen

Computers and Chemical Engineering

DOI

2017

Cause and Effect Analysis for Decision Support in Alarm Floods

Wenkai Hu, Tong-Wen Chen, Sirish L. Shah, M. Hollender

DOI

2017

Better understanding of process operation using performance metrics and visualization plots

Ahmad W. Al-Dabbagh, Wenkai Hu, Shiqi Lai, Tong-Wen Chen, Sirish L. Shah

Conference on Control Technology and Applications

DOI

2017

An accelerated alignment method for analyzing time sequences of industrial alarm floods

Cen Guo, Wenkai Hu, Shiqi Lai, F. Yang, Tong-Wen Chen

DOI

2017

An automated data-driven method to detect mode-based alarms

Wenkai Hu, Tong-Wen Chen, Sirish L. Shah

American Control Conference

DOI

2017

Cause-effect analysis of industrial alarm variables using transfer entropies ☆

Wenkai Hu, Jiandong Wang, Tong-Wen Chen, Sirish L. Shah

DOI

2016

Process Discovery of Operator Actions in Response to Univariate Alarms

Wenkai Hu, Ahmad W. Al-Dabbagh, Tong-Wen Chen, Sirish L. Shah

DOI

2016

A local alignment approach to similarity analysis of industrial alarm flood sequences

Wenkai Hu, Jiandong Wang, Tong-Wen Chen

DOI

2015

Fast Sequence Alignment for Comparing Industrial Alarm Floods

Wenkai Hu, Jiandong Wang, Tong-Wen Chen

DOI

2015

A new method to detect and quantify correlated alarms with occurrence delays

Wenkai Hu, Jiandong Wang, Tong-Wen Chen

Computers and Chemical Engineering

DOI

2015

An Application of Advanced Alarm Management Tools to an Oil Sand Extraction Plant

Wenkai Hu, Muhammad Shahzad Afzal, G. Brandt, Eric Lau, Tong-Wen Chen, Sirish L. Shah

DOI

精选作品

期刊论文

Establishment of Non-Convex Normal Operating Zone Based on Grid Partitioning for Multivariate Alarm Systems

A knowledge-informed multi-scale feature extraction siamese neural network for bearing fault diagnosis in few-shot scenarios

Multi-dimensional sequence embedding and improved Informer for prediction of industrial alarm events

Sequence Alignment and Dual-Graph Fusion-Based Manifold Regularization for Root-Cause Identification of Industrial Alarm Floods

Hierarchical Causal Graph Neural Networks With Cascading Failure Analysis for Complex Systems Root Cause Identification

A novel bidirectional triangular graph neural network model for multi-domain parameter correlation reasoning in production lines

A dual-channel signals-based method for pipeline leak detection by signal reconstruction and deep feature fusion

An ensemble multivariate detection method for steady-state drift in process industries

Drill bit failure detection for drilling processes based on global–local feature extraction and multi-stage incremental learning

Discovering alarm event causality based on neural point process modeling with topology constraint for root cause analysis

An improved EEMD-GCC method for pipeline leak detection and localization with maglev vibration detector

Anomaly detection for drilling tools based on operating mode recognition and interval-augmented Mahalanobis distance

Spatiotemporal feature fusion modeling for multistep prediction of strip temperature in continuous annealing processes

Multi-working condition performance assessment based on knowledge extraction of optimal operating states for continuous annealing processes

智能制造大数据分析技术及应用导论

Incident Detection Adapting to the Drilling Depth for Geological Drilling Processes Based on Domain Adversarial Dual Graph Convolutional Network

A multi-feature-based fault diagnosis method based on the weighted timeliness broad learning system

Root Cause Identification of Industrial Alarm Floods Using Word Embedding and Few-Shot Learning

Multi-fault diagnosis and fault degree identification in hydraulic systems based on fully convolutional networks and deep feature fusion

Improved similarity analysis of industrial alarm flood sequences by considering alarm correlations

Cloud-Edge Cooperative Control System in Continuous Annealing Processes

Early warning of drillstring faulty conditions based on multi-model fusion in geological drilling processes

Pattern Matching of Industrial Alarm Floods Using Word Embedding and Dynamic Time Warping

Frequent Event Pattern Extraction of Drilling Time Series Using Change Point Detection and Event Sequence Generation

Similarity Analysis of Industrial Alarm Floods Based on Word Embedding and Move-Split-Merge Distance

A new transfer entropy approach based on information granulation and clustering for root cause analysis

A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods

Anomaly Detection and Alarm Limit Design for In-Hole Bit Bounce Based on Interval Augmented Mahalanobis Distance

Unsupervised anomalous sound detection for industrial monitoring based on ArcFace classifier and gaussian mixture model

An association rule mining approach to predict alarm events in industrial alarm floods

False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis

Bit Bounce Detection for Drilling Process Based on Multi-Feature Graph and Graph Convolutional Network

A similarity analysis method for hybrid sequences of alarm events and trend events

Identification and Evaluation of Blast Furnace Condition Based on Spatio-Temporal Feature Extraction

Detection of Cause-Effect Relations Based on Information Granulation and Transfer Entropy

Analysis of time-varying cause-effect relations based on qualitative trends and change amplitudes

Real-time pattern matching and ranking for early prediction of industrial alarm floods

Multi-Fault Diagnosis of Hydraulic Systems Based on Fully Convolutional Networks

Pattern Extraction From Industrial Alarm Flood Sequences by a Modified CloFAST Algorithm

Abnormality Detection for Drilling Processes Based on Jensen–Shannon Divergence and Adaptive Alarm Limits

Identification of downhole conditions in geological drilling processes based on quantitative trends and expert rules

Performance Assessment Index in Continuous Annealing Processes by Extracting Reference Curve of Operating Modes

Detection of downhole incidents for complex geological drilling processes using amplitude change detection and dynamic time warping

Generalized Pattern Matching of Industrial Alarm Flood Sequences via Word Processing and Sequence Alignment

Identification of root cause alarms by detecting correlations and time delays between alarm variables

Incipient fault detection for geological drilling processes using multivariate generalized Gaussian distributions and Kullback–Leibler divergence

A fault diagnosis method based on multi-feature fusion and broad learning system

Deep learning technique for process fault detection and diagnosis in the presence of incomplete data

Downhole Condition Identification for Geological Drilling Processes Based on Qualitative Trend Analysis and Expert Rules

Comparison of the Smith-Waterman and Needleman-Wunsch algorithms for online similarity analysis of industrial alarm floods

Diagnosis of downhole incidents for geological drilling processes using multi-time scale feature extraction and probabilistic neural networks

Identification of multiple operating modes based on fused features for continuous annealing processes

An Efficient Method to Discover Association Rules of Mode-Dependent Alarms Based on the FP-Growth Algorithm

Fault detection for geological drilling processes using multivariate generalized Gaussian distribution and Kullback Leibler divergence

Constructing workflow models of alarm responses via trace labeling and dependency analysis

A Data Driven Method to Detect First-Out Alarms Based on Alarm Occurrence Events

Cross-process alarm flood similarity analysis based on abstracted alarm descriptors

A New Method for Alarm Monitoring of Equipment Start-Up Operations with Applications to Pumps

Toward the Advancement of Decision Support Tools for Industrial Facilities: Addressing Operation Metrics, Visualization Plots, and Alarm Floods

Extraction and Graphical Representation of Operator Responses to Multivariate Alarms in Industrial Facilities

Detection of Frequent Alarm Patterns in Industrial Alarm Floods Using Itemset Mining Methods

Design of visualization plots of industrial alarm and event data for enhanced alarm management

Discovering Association Rules of Mode-Dependent Alarms From Alarm and Event Logs

Framework for a smart data analytics platform towards process monitoring and alarm management

Cause and Effect Analysis for Decision Support in Alarm Floods

Better understanding of process operation using performance metrics and visualization plots

An accelerated alignment method for analyzing time sequences of industrial alarm floods

An automated data-driven method to detect mode-based alarms

Cause-effect analysis of industrial alarm variables using transfer entropies ☆

Process Discovery of Operator Actions in Response to Univariate Alarms

A local alignment approach to similarity analysis of industrial alarm flood sequences

Fast Sequence Alignment for Comparing Industrial Alarm Floods

A new method to detect and quantify correlated alarms with occurrence delays

An Application of Advanced Alarm Management Tools to an Oil Sand Extraction Plant

会议论文

Experimental Platform for Pipeline Leak Detection Based on Magnetic Levitation Vibration Detectors

Fault diagnosis for industrial alarm floods based on Discrete Hidden Markov Model

A Pipeline Leak Detection Method Based on MGD-KLD and On-delay Timer