| Deep learning fault diagnosis method based on global optimization GAN for unbalanced data F Zhou, S Yang, H Fujita, D Chen, C Wen Knowledge-Based Systems 187, 104837, 2020 | 512 | 2020 |
| A novel multimode fault classification method based on deep learning F Zhou, Y Gao, C Wen Journal of Control Science and Engineering 2017 (1), 3583610, 2017 | 77 | 2017 |
| Differential feature based hierarchical PCA fault detection method for dynamic fault F Zhou, JH Park, Y Liu Neurocomputing 202, 27-35, 2016 | 65 | 2016 |
| Transfer learning based fault diagnosis with missing data due to multi-rate sampling D Chen, S Yang, F Zhou Sensors 19 (8), 1826, 2019 | 59 | 2019 |
| Event‐triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities Y Liu, JH Park, BZ Guo, F Fang, F Zhou International Journal of Robust and Nonlinear Control 28 (13), 3893-3908, 2018 | 56 | 2018 |
| Inverse projection group sparse representation for tumor classification: A low rank variation dictionary approach X Yang, X Jiang, C Tian, P Wang, F Zhou, H Fujita Knowledge-Based Systems 196, 105768, 2020 | 40 | 2020 |
| A multimodal feature fusion-based deep learning method for online fault diagnosis of rotating machinery F Zhou, P Hu, S Yang, C Wen Sensors 18 (10), 3521, 2018 | 38 | 2018 |
| Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis Z Zhang, F Zhou, HR Karimi, H Fujita, X Hu, C Wen, T Wang Engineering Applications of Artificial Intelligence 126, 107052, 2023 | 27 | 2023 |
| Incipient fault diagnosis based on DNN with transfer learning D Chen, S Yang, F Zhou 2018 international conference on control, automation and information …, 2018 | 25 | 2018 |
| An improved discrete migrating birds optimization algorithm for the no-wait flow shop scheduling problem S Zhang, X Gu, F Zhou IEEE access 8, 99380-99392, 2020 | 21 | 2020 |
| Fault diagnosis based on federated learning driven by dynamic expansion for model layers of imbalanced client F Zhou, S Liu, H Fujita, X Hu, Y Zhang, B Wang, K Wang Expert Systems with Applications 238, 121982, 2024 | 20 | 2024 |
| RUL prognostics method based on real time updating of LSTM parameters F Zhou, P Hu, X Yang 2018 Chinese Control And Decision Conference (CCDC), 3966-3971, 2018 | 20 | 2018 |
| A personalized federated learning-based fault diagnosis method for data suffering from network attacks Z Zhang, F Zhou, C Zhang, C Wen, X Hu, T Wang Applied Intelligence 53 (19), 22834-22849, 2023 | 17 | 2023 |
| DCA based multiple faults diagnosis method FN Zhou, CL Wen, TH Tang, ZG Chen Acta Automatica Sinica 35 (7), 971-982, 2009 | 17 | 2009 |
| A sparse denoising deep neural network for improving fault diagnosis performance F Zhou, T Sun, X Hu, T Wang, C Wen Signal, Image and Video Processing 15 (8), 1889-1898, 2021 | 15 | 2021 |
| An extended multi-scale principal component analysis method and application in anomaly detection W Chenglin, Z Funa, WEN Chuanbo, C Zhiguo Chinese Journal of Electronics 21 (3), 471-476, 2012 | 12 | 2012 |
| Nonlinear non-Gaussian estimation using maximum correntropy square root cubature information filtering X Feng, Y Feng, F Zhou, L Ma, CX Yang IEEE Access 8, 181930-181942, 2020 | 11 | 2020 |
| Average accumulative based time variant model for early diagnosis and prognosis of slowly varying faults F Zhou, JH Park, C Wen, P Hu Sensors 18 (6), 1804, 2018 | 11 | 2018 |
| DCA based multi-level small fault diagnosis method FN Zhou, CL Wen, ZG Chen, YB Leng Dianzi Xuebao(Acta Electronica Sinica) 38 (8), 1874-1879, 2010 | 11 | 2010 |
| Fault diagnosis based on deep learning by extracting inherent common feature of multi-source heterogeneous data F Zhou, S Yang, Y He, D Chen, C Wen Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2021 | 10 | 2021 |
