Zhiwen Chen

Orcid: 0000-0002-4759-0904

Affiliations:
  • Central South University, Changsha, China


According to our database1, Zhiwen Chen authored at least 76 papers between 2013 and 2024.

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Bibliography

2024
Dynamic Inner Canonical Variate Network for Incipient Fault Monitoring.
IEEE Trans. Ind. Informatics, September, 2024

SIR-Aided Dynamic Canonical Correlation Analysis for Fault Detection and Isolation of Industrial Automation Systems.
IEEE Trans. Ind. Electron., September, 2024

JITL-MBN: A Real-Time Causality Representation Learning for Sensor Fault Diagnosis of Traction Drive System in High-Speed Trains.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Real-Time Multi-Sensor Joint Fault Diagnosis Method for Permanent Magnet Traction Drive Systems Based on Structural Analysis.
Sensors, May, 2024

A Dual Closed-Loop Digital Twin Construction Method for Optimizing the Copper Disc Casting Process.
IEEE CAA J. Autom. Sinica, March, 2024

Hierarchical Packing Model: Estimating the Overall Particle Size Distribution From Surface Images and Permeability Properties.
IEEE Trans. Instrum. Meas., 2024

Multilevels Domain Alignment Adaptation-Based Transfer Fault Diagnosis Method for Different Machines.
IEEE Trans. Instrum. Meas., 2024

Adversarial domain adaptation network with MixMatch for incipient fault diagnosis of PMSM under multiple working conditions.
Knowl. Based Syst., 2024

A novel positive-negative graph convolutional network-based fault diagnosis method with application to complex systems.
Neurocomputing, 2024

Overall particle size distribution estimation method based on kinetic modeling and transformer prediction.
Eng. Appl. Artif. Intell., 2024

Canonical Correlation Guided Deep Neural Network.
CoRR, 2024

OHCA-GCN: A novel graph convolutional network-based fault diagnosis method for complex systems via supervised graph construction and optimization.
Adv. Eng. Informatics, 2024

Blast Furnace Condition Recognizing in the Ironmaking Process Based on Prior Knowledge and Platt Scaling Probability.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

A Hybrid Process Data and Knowledge-Based Fault Diagnosis Method for Product Quality Monitoring of a Hot Rolling Mill.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

Online Performance Optimization for Railway Traction System Based on PnP Structure.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

2023
A Novel Distributed CVRAE-Based Spatio-Temporal Process Monitoring Method With Its Application.
IEEE Trans. Ind. Informatics, November, 2023

A Novel Particle Size Detection System Based on RGB-Laser Fusion Segmentation With Feature Dual-Recalibration for Blast Furnace Materials.
IEEE Trans. Ind. Electron., October, 2023

Multichannel Domain Adaptation Graph Convolutional Networks-Based Fault Diagnosis Method and With Its Application.
IEEE Trans. Ind. Informatics, June, 2023

Generated Pseudo-Labels Guided by Background Skeletons for Overcoming Under-Segmentation in Overlapping Particle Objects.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

Sintering Process-Monitoring Method for Ternary Cathode Materials Based on Recurrent Variational Autoencoder.
IEEE Trans. Instrum. Meas., 2023

Oversmoothing Relief Graph Convolutional Network-Based Fault Diagnosis Method With Application to the Rectifier of High-Speed Trains.
IEEE Trans. Ind. Informatics, 2023

A Mechanism and Data Hybrid-Driven Method for Main Circuit Ground Fault Diagnosis in Electrical Traction System.
IEEE Trans. Ind. Electron., 2023

Association Hierarchical Representation Learning for Plant-Wide Process Monitoring by Using Multilevel Knowledge Graph.
IEEE Trans. Artif. Intell., 2023

DSE-VAE: an Interpretable Fault Data Generation Method for the Traction Motors.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

A Distributed Connectivity Optimization Method for Coverage Control of the Multi-agent System.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Performance Monitoring and Trend Visualization of Chillers Based on Principal Component Analysis and Its Application.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Secure Data Transmission and Trustworthiness Judgement Approaches Against Cyber-Physical Attacks in an Integrated Data-Driven Framework.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Comparative Study of Deep Neural Network-Aided Canonical Correlation Analysis-Based Process Monitoring and Fault Detection Methods.
IEEE Trans. Neural Networks Learn. Syst., 2022

Real-Time Fault Diagnosis of Pulse Rectifier in Traction System Based on Structural Model.
IEEE Trans. Intell. Transp. Syst., 2022

A Deep Transfer Learning Fault Diagnosis Method Based on WGAN and Minimum Singular Value for Non-Homologous Bearing.
IEEE Trans. Instrum. Meas., 2022

A Coke Detection Method Based on Reweighting a Composite Feature for Mixed Material Recognition and Quantification.
IEEE Trans. Instrum. Meas., 2022

Concrete Crack Quantification Using Voxel-Based Reconstruction and Bayesian Data Fusion.
IEEE Trans. Ind. Informatics, 2022

Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge.
IEEE Trans. Cybern., 2022

A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis.
IEEE Trans. Cybern., 2022

A Dynamic GLR-Based Fault Detection Method for Non-Gaussain Dynamic Processes.
Symmetry, 2022

Multi-Condition PMSM Fault Diagnosis Based on Convolutional Neural Network Phase Tracker.
Symmetry, 2022

Control theoretically explainable application of autoencoder methods to fault detection in nonlinear dynamic systems.
CoRR, 2022

Spatial-temporal associations representation and application for process monitoring using graph convolution neural network.
CoRR, 2022

An optimization control strategy for braking system of high-speed trains under partial loss of braking force.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

2021
An Industrial Multilevel Knowledge Graph-Based Local-Global Monitoring for Plant-Wide Processes.
IEEE Trans. Instrum. Meas., 2021

Optimal Control of Chilled Water System With Ensemble Learning and Cloud Edge Terminal Implementation.
IEEE Trans. Ind. Informatics, 2021

A Data-Driven Health Monitoring Method Using Multiobjective Optimization and Stacked Autoencoder Based Health Indicator.
IEEE Trans. Ind. Informatics, 2021

A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection.
IEEE Trans. Ind. Electron., 2021

A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches.
Entropy, 2021

Graph neural network-based fault diagnosis: a review.
CoRR, 2021

Graph convolution network-based fault diagnosis method for the rectifier of the high-speed train.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

A Diagnosis method for IGBT and Current Sensor Faults of Two-level Inverter Used in Traction Systems.
Proceedings of the CAA Symposium on Fault Detection, 2021

Temperature Control-based FCS-MPC of Traction Converters<sup>*</sup>.
Proceedings of the CAA Symposium on Fault Detection, 2021

GCN-CAM: A new graph convolutional network-based fault diagnosis method with its interpretability analysis.
Proceedings of the CAA Symposium on Fault Detection, 2021

A Condition Prediction Method of Blast Furnace Based on Flame Morphology Information.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
A Correlation-Based Distributed Fault Detection Method and Its Application to a Hot Tandem Rolling Mill Process.
IEEE Trans. Ind. Electron., 2020

Temperature Balancing Method Based on FCSM<sup>2</sup> PC for Three-level Inverters.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

A Probabilistic Finite State Automata-based Fault Detection Method for Traction Motor.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

Demagnetization Diagnosing in PMSM Based on SIDDTW Under Nonstationary Conditions.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
Data-Driven Detection of Hot Spots in Photovoltaic Energy Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2019

A Distributed Canonical Correlation Analysis-Based Fault Detection Method for Plant-Wide Process Monitoring.
IEEE Trans. Ind. Informatics, 2019

A Cumulative Canonical Correlation Analysis-Based Sensor Precision Degradation Detection Method.
IEEE Trans. Ind. Electron., 2019

A Uniform Modeling Method Based on Open-Circuit Faults Analysis for NPC-Three-Level Converter.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Estimate Information Fusion Weight of WSNs Nodes Based on Truth Discovery Optimization Method Among Conflicting Sources of Data.
IEEE Access, 2019

A Voltage-Based Open-Circuit Fault Diagnosis Approach for Single Phase Two-Level Converters.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Converter Lifetime Modeling Based on Online Rainflow Counting Algorithm.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Data Fusion Based On-Line Product Quality Evaluation for the Manufacturing Process of Ternary Cathode Material.
Proceedings of the IECON 2019, 2019

Stacking Model-based Method for Traction Motor Fault Diagnosis.
Proceedings of the CAA Symposium on Fault Detection, 2019

Random-Sampling-Based Performance Evaluation Method of Fault Detection and Diagnosis for Railway Traction System.
Proceedings of the CAA Symposium on Fault Detection, 2019

Comparison of Several Data-driven Models for Remaining Useful Life Prediction.
Proceedings of the CAA Symposium on Fault Detection, 2019

A comparison of OCMPM and OCSVM in motor and sensor fault detection for traction control system.
Proceedings of the CAA Symposium on Fault Detection, 2019

2018
Fault Detection for Non-Gaussian Processes Using Generalized Canonical Correlation Analysis and Randomized Algorithms.
IEEE Trans. Ind. Electron., 2018

Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression.
IEEE Access, 2018

A Data-Driven Fault Diagnosis Method for Static Processes with Periodic Disturbances.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

CCR Based Key Performance Indicator Monitoring Method for Industrial Processes.
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

An Adaptive Data-Driven Fault Detection Method for Monitoring Dynamic Process.
Proceedings of the IECON 2018, 2018

2017
Assessment of <i>T</i><sup>2</sup>- and <i>Q</i>-statistics for detecting additive and multiplicative faults in multivariate statistical process monitoring.
J. Frankl. Inst., 2017

An alternative data-driven fault detection scheme for dynamic processes with deterministic disturbances.
J. Frankl. Inst., 2017

2016
A brief survey of different statistics for detecting multiplicative faults in multivariate statistical process monitoring.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2013
Adaptive PCA based fault diagnosis scheme in imperial smelting process.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

A KPI-related multiplicative fault diagnosis scheme for industrial processes.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013


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