Hanwen Zhang
Orcid: 0000-0001-6712-1972Affiliations:
- University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
- Zhejiang University, College of Control Science and Engineering, State Key Laboratory of Industrial Control Technology, Hangzhou, China (2018 - 2021)
- Tsinghua University, Department of Automation, TNList, Beijing, China (PhD 2018)
According to our database1,
Hanwen Zhang
authored at least 27 papers
between 2017 and 2026.
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Bibliography
2026
MAML-based temporal supervised information maximizing GAN for few-shot time series data generation.
Expert Syst. Appl., 2026
2025
Toward In-Depth Mastery of Statistical Properties: Novel Stationary Moment Analysis With Application to Continuous Industrial Anomaly Detection.
IEEE Trans. Cybern., July, 2025
Release Power of Mechanism and Data Fusion: A Hierarchical Strategy for Enhanced MIQ-Related Modeling and Fault Detection in BFIP.
IEEE CAA J. Autom. Sinica, May, 2025
TKS-BLS: Temporal Kernel Stationary Broad Learning System for Enhanced Modeling, Anomaly Detection, and Incremental Learning With Application to Ironmaking Processes.
IEEE Trans. Syst. Man Cybern. Syst., January, 2025
Spatiotemporal Generative Adversarial Network for Industrial Fault Diagnosis With Imbalanced Data.
IEEE Trans. Instrum. Meas., 2025
Quality-Related Spatio-Temporal Information Analytics-Based Multiunit Synergetic Monitoring for Plant-Wide Industrial Processes.
IEEE Trans Autom. Sci. Eng., 2025
Semi-supervised high-uncertainty deep canonical variate analysis for fault diagnosis in blast furnace ironmaking.
Knowl. Based Syst., 2025
Siamese Neural Network-based stationary feature extraction for nonstationary process monitoring.
Neurocomputing, 2025
2024
From Complexity to Clarity: M2KCSVA's Nonlinear Temporal Correlation Analysis and Stationary Estimation Pave the Way for Fault Diagnosis in Ironmaking Processes.
IEEE Trans. Ind. Informatics, April, 2024
Blast Furnace Ironmaking Process Monitoring With Time-Constrained Global and Local Nonlinear Analytic Stationary Subspace Analysis.
IEEE Trans. Ind. Informatics, March, 2024
Gaussian Mixture Model-Based Wasserstein Stationary Subspace Analysis for Process Monitoring.
IEEE Trans. Instrum. Meas., 2024
Unveiling dynamics changes: Singular spectrum analysis-based method for detecting concept drift in industrial data streams.
Knowl. Based Syst., 2024
Online spatiotemporal modeling for high spatial-dimensional DPSs under nonstationary sensor layout.
Expert Syst. Appl., 2024
Data and knowledge collaborative-driven fault identification and self-healing control action inference framework for blast furnace.
Expert Syst. Appl., 2024
Proceedings of the 17th International Conference on Control, 2024
Optimal Linear Deception Attacks on Remote State Estimation with Constrained Alarm Rates: A Low-Dimensional Case.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
2023
Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process.
Inf. Sci., 2023
2022
Nonstationary Process Monitoring for Blast Furnaces Based on Consistent Trend Feature Analysis.
IEEE Trans. Control. Syst. Technol., 2022
2021
Remaining Useful Life Prediction for Degradation Processes With Dependent and Nonstationary Increments.
IEEE Trans. Instrum. Meas., 2021
Stochastic process-based degradation modeling and RUL prediction: from Brownian motion to fractional Brownian motion.
Sci. China Inf. Sci., 2021
2020
Remaining useful life prediction for multivariable stochastic degradation systems with non-Markovian diffusion processes.
Qual. Reliab. Eng. Int., 2020
Conditional random field for monitoring multimode processes with stochastic perturbations.
J. Frankl. Inst., 2020
2019
FBM-Based Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence and Multiple Modes.
IEEE Trans. Reliab., 2019
Remaining Useful Life Prediction under Multiple Fault Patterns for Degradation Processes with Long-Range Dependence.
Proceedings of the CAA Symposium on Fault Detection, 2019
RUL Prediction: Reducing Statistical Model Uncertainty Via Bayesian Model Aggregation.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes.
Comput. Chem. Eng., 2018
2017
Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence.
IEEE Trans. Reliab., 2017