Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence. - Hanwen Zhang 002; Maoyin Chen; Xiaopeng Xi; Donghua Zhou (IEEE Trans. Reliab., 2017)

Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes. - Jun Shang; Maoyin Chen; Hanwen Zhang 002 (Comput. Chem. Eng., 2018)

RUL Prediction: Reducing Statistical Model Uncertainty Via Bayesian Model Aggregation. - Chao Jia; Hanwen Zhang 002 (CAA SAFEPROCESS, 2019)

Remaining Useful Life Prediction under Multiple Fault Patterns for Degradation Processes with Long-Range Dependence. - Hanwen Zhang 002; Chunjie Yang 001; Youxian Sun (CAA SAFEPROCESS, 2019)

FBM-Based Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence and Multiple Modes. - Hanwen Zhang 002; Donghua Zhou; Maoyin Chen; Jun Shang (IEEE Trans. Reliab., 2019)

Conditional random field for monitoring multimode processes with stochastic perturbations. - Hanwen Zhang 002; Jun Shang; Chunjie Yang 001; Youxian Sun (J. Frankl. Inst., 2020)

Remaining useful life prediction for multivariable stochastic degradation systems with non-Markovian diffusion processes. - Xiaopeng Xi; Donghua Zhou; Maoyin Chen; Narayanaswamy Balakrishnan; Hanwen Zhang 002 (Qual. Reliab. Eng. Int., 2020)

Stochastic process-based degradation modeling and RUL prediction: from Brownian motion to fractional Brownian motion. - Hanwen Zhang 002; Maoyin Chen; Jun Shang; Chunjie Yang 001; Youxian Sun (Sci. China Inf. Sci., 2021)

Remaining Useful Life Prediction for Degradation Processes With Dependent and Nonstationary Increments. - Hanwen Zhang 002; Chao Jia; Maoyin Chen (IEEE Trans. Instrum. Meas., 2021)

Nonstationary Process Monitoring for Blast Furnaces Based on Consistent Trend Feature Analysis. - Hanwen Zhang 002; Jun Shang; Jianxun Zhang 001; Chunjie Yang 001 (IEEE Trans. Control. Syst. Technol., 2022)

Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process. - Siwei Lou; Chunjie Yang 001; Xiongzhuo Zhu; Hanwen Zhang 002; Ping Wu 001 (Inf. Sci., 2023)

Optimal Linear Deception Attacks on Remote State Estimation with Constrained Alarm Rates: A Low-Dimensional Case. - Jun Shang; Hanwen Zhang 002; Jing Zhou; Tongwen Chen (CDC, 2024)

Linear Encryption Techniques for Counteracting Information-based Stealthy Attacks. - Jun Shang; Hanwen Zhang 002; Weixiong Rao; Yiguang Hong (ICARCV, 2024)

Data and knowledge collaborative-driven fault identification and self-healing control action inference framework for blast furnace. - Xiaoke Huang; Chunjie Yang 001; Hanwen Zhang 002; Siwei Lou; Dali Gao; Liyuan Kong (Expert Syst. Appl., 2024)

Online spatiotemporal modeling for high spatial-dimensional DPSs under nonstationary sensor layout. - Zhe Liu 028; Chunjie Yang 001; Shurong Li; Hanwen Zhang 002 (Expert Syst. Appl., 2024)

Unveiling dynamics changes: Singular spectrum analysis-based method for detecting concept drift in industrial data streams. - Yuyan Zhang; Zhe Liu 028; Chunjie Yang 001; Xiaoke Huang; Siwei Lou; Hanwen Zhang 002; Duojin Yan (Knowl. Based Syst., 2024)

Gaussian Mixture Model-Based Wasserstein Stationary Subspace Analysis for Process Monitoring. - Hanwen Zhang 002; Qingqing Liu; Chao Jia (IEEE Trans. Instrum. Meas., 2024)

Blast Furnace Ironmaking Process Monitoring With Time-Constrained Global and Local Nonlinear Analytic Stationary Subspace Analysis. - Siwei Lou; Chunjie Yang 001; Xujie Zhang; Hanwen Zhang 002; Ping Wu 001 (IEEE Trans. Ind. Informatics, 2024)

From Complexity to Clarity: M2KCSVA's Nonlinear Temporal Correlation Analysis and Stationary Estimation Pave the Way for Fault Diagnosis in Ironmaking Processes. - Siwei Lou; Chunjie Yang 001; Xujie Zhang; Hanwen Zhang 002; Ping Wu 001 (IEEE Trans. Ind. Informatics, 2024)

Siamese Neural Network-based stationary feature extraction for nonstationary process monitoring. - Hanwen Zhang 002; Qingqing Liu; Weiwei Fan; Jun Shang; Linlin Li 005 (Neurocomputing, 2025)

Semi-supervised high-uncertainty deep canonical variate analysis for fault diagnosis in blast furnace ironmaking. - Yuelin Yang; Chunjie Yang 001; Xiongzhuo Zhu; Hanwen Zhang 002; Haifeng Zhang; Zhiqi Su; Siwei Lou (Knowl. Based Syst., 2025)

Quality-Related Spatio-Temporal Information Analytics-Based Multiunit Synergetic Monitoring for Plant-Wide Industrial Processes. - Chi Zhang 066; Jie Dong 004; Kaixiang Peng; Hanwen Zhang 002 (IEEE Trans Autom. Sci. Eng., 2025)

Spatiotemporal Generative Adversarial Network for Industrial Fault Diagnosis With Imbalanced Data. - Hanwen Zhang 002; Houze Guo; Jun Shang; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2025)

TKS-BLS: Temporal Kernel Stationary Broad Learning System for Enhanced Modeling, Anomaly Detection, and Incremental Learning With Application to Ironmaking Processes. - Siwei Lou; Chunjie Yang 001; Liyuan Kong; Tao Lin; Hanwen Zhang 002; Ping Wu 001; Li Chai 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Release Power of Mechanism and Data Fusion: A Hierarchical Strategy for Enhanced MIQ-Related Modeling and Fault Detection in BFIP. - Siwei Lou; Chunjie Yang 001; Zhe Liu 028; Shaoqi Wang; Hanwen Zhang 002; Ping Wu 001 (IEEE CAA J. Autom. Sinica, 2025)

Toward In-Depth Mastery of Statistical Properties: Novel Stationary Moment Analysis With Application to Continuous Industrial Anomaly Detection. - Siwei Lou; Chunjie Yang 001; Weibin Wang; Hanwen Zhang 002; Yuchen Zhao; Ping Wu 001 (IEEE Trans. Cybern., 2025)

MAML-based temporal supervised information maximizing GAN for few-shot time series data generation. - Hanwen Zhang 002; Houze Guo; Haojie Bai; Chuanfang Zhang 001; Linlin Li 005 (Expert Syst. Appl., 2026)