| Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing Y Lv, R Yuan, G Song Mechanical Systems and Signal Processing 81, 219-234, 2016 | 247 | 2016 |
| Percussion-based bolt looseness monitoring using intrinsic multiscale entropy analysis and BP neural network R Yuan, Y Lv, Q Kong, G Song Smart Materials and Structures 28 (12), 125001, 2019 | 112 | 2019 |
| Bearing fault diagnosis using transfer learning and self-attention ensemble lightweight convolutional neural network H Zhong, Y Lv, R Yuan, D Yang Neurocomputing 501, 765-777, 2022 | 101 | 2022 |
| Health degradation monitoring and early fault diagnosis of a rolling bearing based on CEEMDAN and improved MMSE Y Lv, R Yuan, T Wang, H Li, G Song Materials 11 (6), 1009, 2018 | 81 | 2018 |
| Fine-tuning transfer learning based on DCGAN integrated with self-attention and spectral normalization for bearing fault diagnosis H Zhong, S Yu, H Trinh, Y Lv, R Yuan, Y Wang Measurement 210, 112421, 2023 | 72 | 2023 |
| Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing R Yuan, Y Lv, T Wang, S Li, H Li Structural Health Monitoring 21 (6), 2851-2873, 2022 | 48 | 2022 |
| High-order synchroextracting transform for characterizing signals with strong AM-FM features and its application in mechanical fault diagnosis S Lv, Y Lv, R Yuan, H Li Mechanical Systems and Signal Processing 172, 108959, 2022 | 47 | 2022 |
| Multi-fault diagnosis of rolling bearings via adaptive projection intrinsically transformed multivariate empirical mode decomposition and high order singular value decomposition R Yuan, Y Lv, G Song Sensors 18 (4), 1210, 2018 | 44 | 2018 |
| Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions R Yuan, Y Lv, Z Lu, S Li, H Li Structural Health Monitoring 22 (2), 846-864, 2022 | 40 | 2022 |
| Robust fault diagnosis of rolling bearings using multivariate intrinsic multiscale entropy analysis and neural network under varying operating conditions R Yuan, Y Lv, H Li, G Song IEEE Access 7, 804-819, 2019 | 40 | 2019 |
| Fault diagnosis of rolling bearing based on fast nonlocal means and envelop spectrum Y Lv, Q Zhu, R Yuan Sensors 15 (1), 1182-1198, 2015 | 35 | 2015 |
| Multivariate dynamic mode decomposition and its application to bearing fault diagnosis Q Zhang, R Yuan, Y Lv, Z Li, H Wu IEEE Sensors Journal 23 (7), 7514-7524, 2023 | 30 | 2023 |
| Matching synchroextracting transform for mechanical fault diagnosis under variable-speed conditions Y Ma, Y Lv, R Yuan, G Song IEEE Transactions on Instrumentation and Measurement 71, 3505612, 2021 | 29 | 2021 |
| Fault diagnosis of planetary gears based on intrinsic feature extraction and deep transfer learning H Li, Y Lv, R Yuan, Z Dang, Z Cai, B An Measurement Science and Technology 34, 014009, 2022 | 28 | 2022 |
| An intelligent fault diagnosis method of rolling bearings via variational mode decomposition and common spatial pattern-based feature extraction Z Li, Y Lv, R Yuan, Q Zhang IEEE Sensors Journal 22 (15), 15169-15177, 2022 | 25 | 2022 |
| Remaining useful life prediction of rolling bearings based on segmented relative phase space warping and particle filter H Liu, R Yuan, Y Lv, H Li, ED Gedikli, G Song IEEE Transactions on Instrumentation and Measurement 71, 3527415, 2022 | 22 | 2022 |
| A local transient feature extraction method via periodic low rank dynamic mode decomposition for bearing incipient fault diagnosis Q Zhang, Y Lv, R Yuan, Z Li, H Li Measurement 203, 111973, 2022 | 20 | 2022 |
| Robust fault diagnosis of rolling bearings via entropy-weighted nuisance attribute projection and neural network under various operating conditions D Yang, Y Lv, R Yuan, H Li, W Zhu Structural Health Monitoring 21 (6), 2890-2909, 2022 | 20 | 2022 |
| ResNet-integrated very early bolt looseness monitoring based on intrinsic feature extraction of percussion sounds R Yuan, Y Lv, S Xu, L Li, Q Kong, G Song Smart Materials and Structures 32 (3), 034002, 2023 | 19 | 2023 |
| A novel multivariate cutting force-based tool wear monitoring method using one-dimensional convolutional neural network X Yang, R Yuan, Y Lv, L Li, H Song Sensors 22 (21), 8343, 2022 | 19 | 2022 |
Yong LvWuhan University of Science and Technology確認したメール アドレス: wust.edu.cn
