| Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings MJ Yifei Ding, Jichao Zhuang, Peng Ding Reliability Engineering & System Safety, 2021 | 161* | 2021 |
| Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network Y Cao, M Jia, P Ding, Y Ding Measurement 178, 109287, 2021 | 160 | 2021 |
| Intelligent fault diagnosis of gearbox under variable working conditions with adaptive intraclass and interclass convolutional neural network X Zhao, J Yao, W Deng, P Ding, Y Ding, M Jia, Z Liu IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6339-6353, 2022 | 151 | 2022 |
| Multiscale deep graph convolutional networks for intelligent fault diagnosis of rotor-bearing system under fluctuating working conditions X Zhao, J Yao, W Deng, P Ding, J Zhuang, Z Liu IEEE Transactions on Industrial Informatics 19 (1), 166-176, 2022 | 86 | 2022 |
| Transfer learning for remaining useful life prediction across operating conditions based on multisource domain adaptation Y Ding, P Ding, X Zhao, Y Cao, M Jia IEEE/ASME Transactions on Mechatronics 27 (5), 4143-4152, 2022 | 80 | 2022 |
| Intelligent Fault Diagnosis of Multi-Channel Motor-Rotor System Based on Multi-manifold Deep Extreme Learning Machine ZL Xiaoli Zhao, Minping Jia, Peng Ding, Cheng Yang, Daoming She IEEE/ASME TRANSACTIONS ON MECHATRONICS, 2020 | 77 | 2020 |
| Meta deep learning based rotating machinery health prognostics toward few-shot prognostics PDMJX Zhao Applied Soft Computing, 2021 | 67 | 2021 |
| Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors J Zhuang, M Jia, Y Ding, P Ding Reliability Engineering & System Safety 216, 107946, 2021 | 55 | 2021 |
| Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions Y Ding, M Jia, Y Cao, P Ding, X Zhao, CG Lee Knowledge-Based Systems 261, 110199, 2023 | 54 | 2023 |
| A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder Y Ding, P Ding, M Jia IEEE Transactions on Instrumentation and Measurement, 2021 | 48 | 2021 |
| Incremental learning for remaining useful life prediction via temporal cascade broad learning system with newly acquired data Y Cao, M Jia, P Ding, X Zhao, Y Ding IEEE Transactions on Industrial Informatics 19 (4), 6234-6245, 2022 | 45 | 2022 |
| Stationary subspaces-vector autoregressive with exogenous terms methodology for degradation trend estimation of rolling and slewing bearings PDMJX Yan Mechanical Systems and Signal Processing 150, 107293, 2020 | 41 | 2020 |
| A dynamic structure-adaptive symbolic approach for slewing bearings’ life prediction under variable working conditions P Ding, M Jia, H Wang Structural Health Monitoring 20 (1), 273-302, 2021 | 35 | 2021 |
| Mechatronics Equipment Performance Degradation Assessment using Limited and Unlabeled Data PDM Jia IEEE Transactions on Industrial Informatics, 2021 | 34 | 2021 |
| HYGP-MSAM based model for slewing bearing residual useful life prediction P Ding, H Wang, W Bao, R Hong Measurement 141, 162-175, 2019 | 32 | 2019 |
| Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation Y Ding, M Jia, J Zhuang, P Ding Applied Soft Computing 127, 109271, 2022 | 31 | 2022 |
| Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery Y Cao, M Jia, Y Ding, X Zhao, P Ding, L Gu Mechanical Systems and Signal Processing 192, 110190, 2023 | 28 | 2023 |
| Fault diagnosis of rolling‐element bearing using multiscale pattern gradient spectrum entropy coupled with Laplacian score X Yan, Y Liu, P Ding, M Jia Complexity 2020 (1), 4032628, 2020 | 23 | 2020 |
| Remaining useful life estimation based on a nonlinear Wiener process model with CSN random effects D Wu, M Jia, Y Cao, P Ding, X Zhao Measurement 205, 112232, 2022 | 22 | 2022 |
| Machinery Cross Domain Degradation Prognostics Considering Compound Domain Shifts PDXZHSM Jia Reliability Engineering & System Safety 239, 109490, 2023 | 18 | 2023 |
Xiaoli Zhao / 赵孝礼Nanjing University of Science and TechnologyEmail verificata su njust.edu.cn