| An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring J Zhang, H Chen, S Chen, X Hong IEEE transactions on cybernetics 49 (1), 198-210, 2017 | 76 | 2017 |
| Monitoring multimode processes: A modified PCA algorithm with continual learning ability J Zhang, D Zhou, M Chen Journal of Process Control 103, 76-86, 2021 | 64 | 2021 |
| A data-driven learning approach for nonlinear process monitoring based on available sensing measurements S Yin, C Yang, J Zhang, Y Jiang IEEE Transactions on Industrial Electronics 64 (1), 643-653, 2016 | 49 | 2016 |
| Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings J Zhang, M Chen, X Hong Neurocomputing 458, 319-326, 2021 | 33 | 2021 |
| Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability D Wu, D Zhou, J Zhang, M Chen Computers & Chemical Engineering 136, 106787, 2020 | 31 | 2020 |
| Continual learning for multimode dynamic process monitoring with applications to an ultra–supercritical thermal power plant J Zhang, D Zhou, M Chen, X Hong IEEE transactions on Automation Science and Engineering 20 (1), 137-150, 2023 | 27 | 2023 |
| Adaptive cointegration analysis and modified RPCA with continual learning ability for monitoring multimode nonstationary processes J Zhang, D Zhou, M Chen IEEE Transactions on Cybernetics 53 (8), 4841-4854, 2023 | 25 | 2023 |
| Self-learning sparse PCA for multimode process monitoring J Zhang, D Zhou, M Chen IEEE Transactions on Industrial Informatics 19 (1), 29-39, 2023 | 21 | 2023 |
| Continual learning-based probabilistic slow feature analysis for monitoring multimode nonstationary processes J Zhang, D Zhou, M Chen, X Hong IEEE Transactions on Automation Science and Engineering 21 (1), 733-745, 2024 | 17 | 2024 |
| Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation J Zhang, M Chen, H Chen, X Hong, D Zhou Industrial & Engineering Chemistry Research 58 (14), 5579-5587, 2019 | 15 | 2019 |
| SCCAM: Supervised contrastive convolutional attention mechanism for Ante-Hoc interpretable fault diagnosis with limited fault samples M Li, P Peng, J Zhang, H Wang, W Shen IEEE Transactions on Neural Networks and Learning Systems, 2023 | 11 | 2023 |
| Monitoring multimode nonlinear dynamic processes: an efficient sparse dynamic approach with continual learning ability J Zhang, M Chen, X Hong IEEE Transactions on Industrial Informatics 19 (7), 8029-8038, 2023 | 9 | 2023 |
| Structure parameter optimized kernel based online prediction with a generalized optimization strategy for nonstationary time series J Guo, H Chen, J Zhang, S Chen IEEE Transactions on Signal Processing 70, 2698-2712, 2022 | 5 | 2022 |
| Multimodal continual learning for process monitoring: a novel weighted canonical correlation analysis with attention mechanism J Zhang, J Xiao, M Chen, X Hong IEEE Transactions on Neural Networks and Learning Systems 36 (1), 1827-1841, 2025 | 3 | 2025 |
| Adaptive attention principal component analysis with continual learning ability for multimode process monitoring J Zhang, Y Cao, S Fang 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical …, 2023 | 2 | 2023 |
| A modified PCA-based approach for process monitoring J Zhang, H Chen, P Cai 2017 29th Chinese Control And Decision Conference (CCDC), 3011-3016, 2017 | 2 | 2017 |
| Fault diagnosis of the continuous stirred tank heater using fuzzy-possibilistic c-means algorithm S Yin, J Zhang 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE …, 2014 | 2 | 2014 |
| Sparse DiPCA for dynamic process monitoring J Zhang, D Zhou, M Chen 2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical …, 2021 | 1 | 2021 |
| A non-greedy algorithm based l1-norm lda method for fault detection M Wang, M Chen, J Zhang, D Zhou 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical …, 2019 | 1 | 2019 |
| An adaptive multi-kernel RBF model using state matching P Cai, H Chen, J Zhang 2017 6th Data Driven Control and Learning Systems (DDCLS), 163-167, 2017 | 1 | 2017 |
maoyin chenE-mailová adresa ověřena na: mail.tsinghua.edu.cn
