| A review on wind turbines gearbox fault diagnosis methods H Gu, WY Liu, QW Gao, Y Zhang Journal of Vibroengineering 23 (1), 26-43, 2021 | 51 | 2021 |
| A novel wind turbine fault diagnosis method based on compressed sensing and DTL-CNN Y Zhang, W Liu, X Wang, H Gu Renewable Energy 194, 249-258, 2022 | 36 | 2022 |
| A novel hierarchical hyper-parameter search algorithm based on greedy strategy for wind turbine fault diagnosis Y Zhang, W Liu, X Wang, MA Shaheer Expert Systems with Applications 202, 117473, 2022 | 28 | 2022 |
| A novel fault diagnosis method of wind turbine bearings based on compressed sensing and AlexNet H Gu, W Liu, Y Zhang, X Jiang Measurement Science and Technology 33 (11), 115011, 2022 | 21 | 2022 |
| A novel wind turbine fault diagnosis based on deep transfer learning of improved residual network and multi-target data Y Zhang, W Liu, H Gu, A Alexisa, X Jiang Measurement Science and Technology 33 (9), 095007, 2022 | 14 | 2022 |
| Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments Y Zhang, C Shen, J Shi, C Li, X Lin, Z Zhu, D Wang Knowledge-Based Systems 293, 111679, 2024 | 7 | 2024 |
| A novel wind turbine fault diagnosis method based on generator current analysis X Wang, WY Liu, Y Zhang, H Gu Journal of Vibroengineering 22 (8), 1758-1769, 2020 | 3 | 2020 |
| Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments Y Zhang, C Shen, X Zhong, K Chen, W Huang, Z Zhu Advanced Engineering Informatics 62, 102715, 2024 | 1 | 2024 |
| A novel method of wind turbine bearing fault diagnosis based on gradient projection sparse reconstruction and fractional Fourier transform and improved convolutional long short … H Gu, Y Zhang, T Xiang Proceedings of the Institution of Mechanical Engineers, Part E: Journal of …, 2023 | 1 | 2023 |
