| Gated recurrent unit-enhanced deep convolutional neural network for real-time industrial process fault diagnosis J Zhang, M Zhang, Z Feng, LV Ruifang, C Lu, Y Dai, L Dong Process Safety and Environmental Protection 175, 129-149, 2023 | 16 | 2023 |
| An enhanced temporal algorithm-coupled optimized adaptive sparse principal component analysis methodology for fault diagnosis of chemical processes J Zhang, Y Dai, Z Feng, L Dong Process Safety and Environmental Protection 174, 663-680, 2023 | 7 | 2023 |
| Integrated diagnostic framework for process and sensor faults in chemical industry J Zhang, W Luo, Y Dai Sensors 21 (3), 822, 2021 | 6 | 2021 |
| A hybrid intelligent fault diagnosis strategy for chemical processes based on penalty iterative optimization Y Yao, J Zhang, W Luo, Y Dai Processes 9 (8), 1266, 2021 | 5 | 2021 |
| Cycle temporal algorithm-based multivariate statistical methods for fault diagnosis in chemical processes J Zhang, W Luo, Y Dai, Y Yao Chinese Journal of Chemical Engineering 47, 54-70, 2022 | 3 | 2022 |
| Optimized adaptive iteration sparse principal component analysis methodology for fault detection and identification in control valves J Zhang, L Samavedham, GP Rangaiah, L Dong 2023 62nd Annual Conference of the Society of Instrument and Control …, 2023 | 1 | 2023 |
| A Novel Fault Diagnosis Framework for Industrial Production Processes Based on Causal Network Inference J Zhang, GP Rangaiah, L Dong, L Samavedham Industrial & Engineering Chemistry Research, 2024 | | 2024 |
| Optimal control strategies for industrial nonlinear process: fuzzy optimal artificial neural network-reinforcement learning J Zhang, GP Rangaiah, Laksh Samavedham Foundations of Process/Product Analytics and Machine Learning, 2023 | | 2023 |
Lichun DongProfessor, Chongqing University在 cqu.edu.cn 的电子邮件经过验证
