| A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection Z Wei, Y Wang, S He, J Bao Knowledge-Based Systems 116, 1-12, 2017 | 210 | 2017 |
| Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN Z Jin, D He, Z Wei Engineering Applications of Artificial Intelligence 110, 104713, 2022 | 198 | 2022 |
| Feature trend extraction and adaptive density peaks search for intelligent fault diagnosis of machines Y Wang, Z Wei, J Yang IEEE Transactions on Industrial Informatics 15 (1), 105-115, 2018 | 133 | 2018 |
| Density-based affinity propagation tensor clustering for intelligent fault diagnosis of train bogie bearing Z Wei, D He, Z Jin, B Liu, S Shan, Y Chen, J Miao IEEE Transactions on Intelligent Transportation Systems 24 (6), 6053-6064, 2023 | 68 | 2023 |
| Intelligent fault diagnosis for rail transit switch machine based on adaptive feature selection and improved LightGBM Z Lao, D He, Z Wei, H Shang, Z Jin, J Miao, C Ren Engineering Failure Analysis 148, 107219, 2023 | 67 | 2023 |
| Preventive maintenance optimization for key components of subway train bogie with consideration of failure risk H Sun, D He, J Zhong, Z Jin, Z Wei, Z Lao, S Shan Engineering Failure Analysis 154, 107634, 2023 | 50 | 2023 |
| Early intelligent fault diagnosis of rotating machinery based on IWOA-VMD and DMKELM Z Jin, D He, Z Lao, Z Wei, X Yin, W Yang Nonlinear Dynamics 111 (6), 5287-5306, 2023 | 28 | 2023 |
| Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy Z Jin, Y Xiao, D He, Z Wei, Y Sun, W Yang Digital Signal Processing 133, 103884, 2023 | 16 | 2023 |
| Intelligent diagnosis method of bearing fault based on ICEEMDAN and Ghost-IRCNN X Zou, D He, Z Jin, Z Wei, J Miao Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2023 | 10 | 2023 |
| A lightweight model for train bearing fault diagnosis based on multiscale attentional feature fusion C He, D He, Z Lao, Z Wei, Z Xiang, W Xiang Measurement Science and Technology 34 (2), 025113, 2022 | 10 | 2022 |
| A novel method of recognizing disturbance events in Φ-OTDR based on affinity propagation clustering and perturbation signal selection S Xu, Z Qin, W Zhang, X Xiong, H Li, Z Wei, OA Postolache, C Mi IEEE Sensors Journal 21 (12), 13272-13282, 2021 | 8 | 2021 |
| Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising Z Wei, D He, Z Jin, S Shan, X Zou, J Miao, C Liu Applied Intelligence 53 (21), 24671-24688, 2023 | 5 | 2023 |
| A novel meta-learning network with adversarial domain-adaptation and attention mechanism for cross-domain for train bearing fault diagnosis H Zhong, D He, Z Wei, Z Jin, Z Lao, Z Xiang, S Shan Measurement Science and Technology 35 (12), 125109, 2024 | 3 | 2024 |
| A train bearing imbalanced fault diagnosis method based on extended CCR and multi-scale feature fusion network C He, D He, Z Wei, K Xu, Y Chen, S Shan Nonlinear Dynamics, 1-27, 2024 | 3 | 2024 |
| Personalized fault diagnosis of rolling bearings in trains based on digital twin C Liu, D He, Z Wei, C He, Z Lao, S Shan Measurement Science and Technology 34 (12), 125131, 2023 | 3 | 2023 |
| Direct denoising of fault signal for train bogie bearing under speed change condition Z Wei, D He, Z Jin, H Sun, S Shan, C Liu, C Yi IEEE Transactions on Vehicular Technology, 2024 | 2 | 2024 |
| Subway train bearing fault detection under variable speed based on speed-guided ACMD and order tracking Z Wei, D He, M Zhao, Z Jin, Y Chen IEEE Sensors Journal, 2024 | | 2024 |
| Fault Diagnosis of Train Bogie Bearing Based on AP-Tensor Clustering Under Multichannel Data Z Wei, D He, Z Jin, H Sun International conference on the Efficiency and Performance Engineering …, 2024 | | 2024 |