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ORCIDPeng Ding
Publications
- 2023
[j44]Yifei Ding
, Minping Jia, Yudong Cao, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee:
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions. Knowl. Based Syst. 261: 110199 (2023)- [j42]Peng Ding, Xiaoli Zhao, Haidong Shao, Minping Jia:
Machinery cross domain degradation prognostics considering compound domain shifts. Reliab. Eng. Syst. Saf. 239: 109490 (2023) - [j41]Xiaoli Zhao, Xingjun Zhu, Jianyong Yao, Wenxiang Deng, Yudong Cao, Peng Ding, Minping Jia, Haidong Shao:
Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations. Sensors 23(9): 4379 (2023) - [j39]Yudong Cao, Minping Jia, Peng Ding, Xiaoli Zhao, Yifei Ding:
Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data. IEEE Trans. Ind. Informatics 19(4): 6234-6245 (2023) - [j38]Xiaoli Zhao, Jianyong Yao, Wenxiang Deng, Peng Ding, Yifei Ding, Minping Jia, Zheng Liu:
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6339-6353 (2023) - 2022
- [j37]Peng Ding, Minping Jia, Yifei Ding, Yudong Cao, Xiaoli Zhao:
Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data. Adv. Eng. Informatics 53: 101691 (2022) - [j36]Yifei Ding, Minping Jia, Jichao Zhuang, Peng Ding:
Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation. Appl. Soft Comput. 127: 109271 (2022) - [j33]Yifei Ding, Jichao Zhuang, Peng Ding, Minping Jia:
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings. Reliab. Eng. Syst. Saf. 218(Part): 108126 (2022) - [j32]Peng Ding, Minping Jia:
Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data. IEEE Trans. Ind. Informatics 18(4): 2374-2385 (2022) - [j31]Peng Ding, Minping Jia, Jichao Zhuang, Yifei Ding, Yudong Cao, Xiaoli Zhao, Chi-Guhn Lee:
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - 2021
- [j28]Peng Ding, Minping Jia, Xiaoli Zhao:
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics. Appl. Soft Comput. 104: 107211 (2021) - [j25]Jichao Zhuang, Minping Jia, Yifei Ding, Peng Ding:
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors. Reliab. Eng. Syst. Saf. 216: 107946 (2021) - [j23]Yifei Ding, Peng Ding, Minping Jia:
A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j22]Peng Ding, Minping Jia, Yifei Ding, Xiaoli Zhao:
Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - 2020
- [j20]Xiaoan Yan, Ying Liu, Peng Ding, Minping Jia:
Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score. Complex. 2020: 4032628:1-4032628:29 (2020) - [c39]Peng Ding, Minping Jia:
Intelligent health evaluation of rolling bearings based on subspace meta-learning. INDIN 2020: 750-754
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