Fault diagnosis of the continuous stirred tank heater using fuzzy-possibilistic c-means algorithm. - Shen Yin; Jingxin Zhang 002 (ISIE, 2014)

A Data-Driven Learning Approach for Nonlinear Process Monitoring Based on Available Sensing Measurements. - Shen Yin; Chengming Yang; Jingxin Zhang 002; Yuchen Jiang (IEEE Trans. Ind. Electron., 2017)

A Non-Greedy Algorithm Based L1-Norm LDA Method for Fault Detection. - Min Wang; Maoyin Chen; Jingxin Zhang 002; Donghua Zhou (CAA SAFEPROCESS, 2019)

Dynamic Laplacian eigenmaps for process monitoring. - Jingxin Zhang 002; Maoyin Chen; Donghua Zhou (CAA SAFEPROCESS, 2019)

An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring. - Jingxin Zhang 002; Hao Chen 031; Songhang Chen; Xia Hong 001 (IEEE Trans. Cybern., 2019)

Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability. - Dehao Wu; Donghua Zhou; Jingxin Zhang 002; Maoyin Chen (Comput. Chem. Eng., 2020)

Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. - Jingxin Zhang 002; Maoyin Chen; Hao Chen 031; Xia Hong 001; Donghua Zhou (CoRR, 2020)

Monitoring multimode processes: a modified PCA algorithm with continual learning ability. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen (CoRR, 2020)

Sparse DiPCA for dynamic process monitoring. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen (CAA SAFEPROCESS, 2021)

Monitoring nonstationary processes based on recursive cointegration analysis and elastic weight consolidation. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen (CoRR, 2021)

Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. - Jingxin Zhang 002; Maoyin Chen; Xia Hong 001 (Neurocomputing, 2021)

Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen; Xia Hong 001 (CoRR, 2022)

Structure Parameter Optimized Kernel Based Online Prediction With a Generalized Optimization Strategy for Nonstationary Time Series. - Jinhua Guo 002; Hao Chen 031; Jingxin Zhang 002; Sheng Chen 001 (IEEE Trans. Signal Process., 2022)

Continual Learning for Multimode Dynamic Process Monitoring With Applications to an Ultra-Supercritical Thermal Power Plant. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen; Xia Hong 001 (IEEE Trans Autom. Sci. Eng., 2023)

Adaptive Cointegration Analysis and Modified RPCA With Continual Learning Ability for Monitoring Multimode Nonstationary Processes. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen (IEEE Trans. Cybern., 2023)

Self-Learning Sparse PCA for Multimode Process Monitoring. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen (IEEE Trans. Ind. Informatics, 2023)

Monitoring Multimode Nonlinear Dynamic Processes: An Efficient Sparse Dynamic Approach With Continual Learning Ability. - Jingxin Zhang 002; Maoyin Chen; Xia Hong 001 (IEEE Trans. Ind. Informatics, 2023)

Continual Learning-Based Probabilistic Slow Feature Analysis for Monitoring Multimode Nonstationary Processes. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen; Xia Hong 001 (IEEE Trans Autom. Sci. Eng., 2024)

SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples. - Mengxuan Li 003; Peng Peng 006; Jingxin Zhang 002; Hongwei Wang 001; Weiming Shen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-learning stationary subspace analysis for fault detection of industrial processes with varying operation conditions. - Dehao Wu; Jianan Deng; Jingxin Zhang 002; Keke Huang; Chunhua Yang 001; Weihua Gui 001 (Eng. Appl. Artif. Intell., 2025)

An efficient multimodal attentional principal component analysis for continual learning-based dynamic process monitoring. - Jingxin Zhang 002; Haikun Wei; Kanjian Zhang; James Xiao; Xia Hong 001 (Neurocomputing, 2025)

Multimodal Continual Learning for Process Monitoring: A Novel Weighted Canonical Correlation Analysis With Attention Mechanism. - Jingxin Zhang 002; James Xiao; Maoyin Chen; Xia Hong 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)