Zhiwen Chen
Orcid: 0000-0002-4759-0904Affiliations:
- Central South University, Changsha, China
According to our database1,
Zhiwen Chen
authored at least 63 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
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
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
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
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 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
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
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
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
2019
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
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
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
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
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018
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
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013