Jingxin Zhang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Optimization Strategy

Principle Component Analysis

Top Venues

CAA SAFEPROCESS

IEEE Trans. Cybern.

IEEE Trans. Ind. Informatics

Publications

Mengxuan Li, Peng Peng, Jingxin Zhang, Hongwei Wang, Weiming Shen
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
Continual Learning-Based Probabilistic Slow Feature Analysis for Monitoring Multimode Nonstationary Processes. IEEE Trans Autom. Sci. Eng. 21 (1) (2024)
Jingxin Zhang, Maoyin Chen, Xia Hong
Monitoring Multimode Nonlinear Dynamic Processes: An Efficient Sparse Dynamic Approach With Continual Learning Ability. IEEE Trans. Ind. Informatics 19 (7) (2023)
Jingxin Zhang, Donghua Zhou, Maoyin Chen
Adaptive Cointegration Analysis and Modified RPCA With Continual Learning Ability for Monitoring Multimode Nonstationary Processes. IEEE Trans. Cybern. 53 (8) (2023)
Jingxin Zhang, Donghua Zhou, Maoyin Chen
Self-Learning Sparse PCA for Multimode Process Monitoring. IEEE Trans. Ind. Informatics 19 (1) (2023)
Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
Continual Learning for Multimode Dynamic Process Monitoring With Applications to an Ultra-Supercritical Thermal Power Plant. IEEE Trans Autom. Sci. Eng. 20 (1) (2023)
Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring. CoRR (2022)
Jinhua Guo, Hao Chen, Jingxin Zhang, Sheng Chen
Structure Parameter Optimized Kernel Based Online Prediction With a Generalized Optimization Strategy for Nonstationary Time Series. IEEE Trans. Signal Process. 70 (2022)
Jingxin Zhang, Maoyin Chen, Xia Hong
Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing 458 (2021)
Jingxin Zhang, Donghua Zhou, Maoyin Chen
Monitoring nonstationary processes based on recursive cointegration analysis and elastic weight consolidation. CoRR (2021)
Jingxin Zhang, Donghua Zhou, Maoyin Chen
Sparse DiPCA for dynamic process monitoring. CAA SAFEPROCESS (2021)
Jingxin Zhang, Donghua Zhou, Maoyin Chen
Self-learning sparse PCA for multimode process monitoring. CoRR (2021)
Jinhua Guo, Hao Chen, Jingxin Zhang, Sheng Chen
Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series. CoRR (2021)
Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring. CoRR (2020)
Jingxin Zhang, Maoyin Chen, Hao Chen, Xia Hong, Donghua Zhou
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. CoRR (2020)
Jingxin Zhang, Donghua Zhou, Maoyin Chen
Monitoring multimode processes: a modified PCA algorithm with continual learning ability. CoRR (2020)
Dehao Wu, Donghua Zhou, Jingxin Zhang, Maoyin Chen
Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability. Comput. Chem. Eng. 136 (2020)
Min Wang, Maoyin Chen, Jingxin Zhang, Donghua Zhou
A Non-Greedy Algorithm Based L1-Norm LDA Method for Fault Detection. CAA SAFEPROCESS (2019)
Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong
An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring. IEEE Trans. Cybern. 49 (1) (2019)
Jingxin Zhang, Maoyin Chen, Donghua Zhou
Dynamic Laplacian eigenmaps for process monitoring. CAA SAFEPROCESS (2019)
Shen Yin, Chengming Yang, Jingxin Zhang, Yuchen Jiang
A Data-Driven Learning Approach for Nonlinear Process Monitoring Based on Available Sensing Measurements. IEEE Trans. Ind. Electron. 64 (1) (2017)
Shen Yin, Jingxin Zhang
Fault diagnosis of the continuous stirred tank heater using fuzzy-possibilistic c-means algorithm. ISIE (2014)