| 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 | 197 | 2022 |
| Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning D He, C Liu, Z Jin, R Ma, Y Chen, S Shan Energy 239, 122108, 2022 | 134 | 2022 |
| 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 |
| 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 | 67 | 2023 |
| Fault diagnosis of train rotating parts based on multi-objective VMD optimization and ensemble learning Z Jin, D He, R Ma, X Zou, Y Chen, S Shan Digital Signal Processing 121, 103312, 2022 | 58 | 2022 |
| Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network Z Lao, D He, Z Jin, C Liu, H Shang, Y He Knowledge-Based Systems 274, 110634, 2023 | 52 | 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 |
| Bearing fault diagnosis based on VMD and improved CNN Z Jin, D Chen, D He, Y Sun, X Yin Journal of Failure Analysis and Prevention 23 (1), 165-175, 2023 | 37 | 2023 |
| Train bearing fault diagnosis based on multi-sensor data fusion and dual-scale residual network D He, Z Lao, Z Jin, C He, S Shan, J Miao Nonlinear Dynamics 111 (16), 14901-14924, 2023 | 35 | 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 |
| RTSMFFDE-HKRR: a fault diagnosis method for train bearing in noise environment D He, Z Zhang, Z Jin, F Zhang, C Yi, S Liao Measurement 239, 115417, 2025 | 24 | 2025 |
| A rolling bearing fault diagnosis method using novel lightweight neural network D He, C Liu, Y Chen, Z Jin, X Li, S Shan Measurement Science and Technology 32 (12), 125102, 2021 | 23 | 2021 |
| Bearing Fault Diagnosis Based on VMD Fuzzy Entropy and Improved Deep Belief Networks Z Jin Journal of Vibration Engineering & Technologies, 1-11, 2022 | 17 | 2022 |
| 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 |
| An improved opportunity maintenance model of complex system Q Yuan, Z Jin, S Jia, Q Liu Advances in Mechanical Engineering 11 (4), 1687814019841517, 2019 | 12 | 2019 |
| An improved deep learning algorithm for obstacle detection in complex rail transit environments Y Qin, D He, Z Jin, Y Chen, S Shan IEEE Sensors Journal, 2023 | 11 | 2023 |
| Welding quality detection of metro train body based on ABC mask R-CNN D He, R Ma, Z Jin, R Ren, S He, Z Xiang, Y Chen, W Xiang Measurement 216, 112969, 2023 | 10 | 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 |
| Improved metric-based meta learning with attention mechanism for few-shot cross-domain train bearing fault diagnosis H Zhong, D He, Z Lao, Z Jin, G Shen, Y Chen Measurement Science and Technology 35 (7), 075101, 2024 | 7 | 2024 |
| Fault diagnosis of train traction motor bearing based on improved deep residual network H Sun, D He, Z Lao, Z Jin, C Liu, S Shan Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2024 | 7 | 2024 |