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ORCIDPeng Ding 0002
Person information
- unicode name: 丁鹏
- affiliation: Yangzhou University, School of Mechanical Engineering, Yangzhou, China
- affiliation (PhD): Southeast University, School of Mechanical Engineering, Nanjing, China
Other persons with the same name
- Peng Ding — disambiguation page
- Peng Ding 0001
![[0000-0001-7814-6606]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7814-6606")
— Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China (and 1 more) - Peng Ding 0003 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Peng Ding 0004 — Sun Yat-Sen University, Research Center for Drug Discovery, Guangzhou, China
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2020 – today
- 2025
[j24]Xiaoli Zhao, Yibo Song, Yuanhao Hu, Xiansong He, Zhan Zhang, Jian Hu, Jianyong Yao, Peng Ding, Ke Feng:
A New Intelligent Recognition Method for Surface Electromyography in IoT Systems Using OmniXceptionDBN. IEEE Internet Things J. 12(14): 28445-28453 (2025)- [j23]Xiaodong Miao, Zheng Liu, Kun Xu, Hua Wang, Xun Zhao, Peng Ding:
Two-Distribution Approximate Evaluation of Multiwavelet Cascade Feature Method for Noise Unbalanced Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 74: 1-13 (2025) - 2024
- [j22]Peng Ding, Jun Xia, Xiaoli Zhao, Minping Jia:
Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions. Adv. Eng. Informatics 60: 102360 (2024) - [j21]Yifei Ding, Yudong Cao, Minping Jia, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee:
Deep temporal-spectral domain adaptation for bearing fault diagnosis. Knowl. Based Syst. 299: 111999 (2024) - [j20]Yudong Cao, Jichao Zhuang, Qiuhua Miao, Minping Jia, Ke Feng, Xiaoli Zhao, Xiaoan Yan, Peng Ding:
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence. Reliab. Eng. Syst. Saf. 246: 110079 (2024) - [j19]Haoyu Wang, Chuanjiang Li, Peng Ding, Shaobo Li, Tandong Li, Chenyu Liu, Xiangjie Zhang, Zejian Hong:
A novel transformer-based few-shot learning method for intelligent fault diagnosis with noisy labels under varying working conditions. Reliab. Eng. Syst. Saf. 251: 110400 (2024) - 2023
- [j18]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) - [j17]Peng Ding, Xiaoli Zhao, Haidong Shao, Minping Jia:
Machinery cross domain degradation prognostics considering compound domain shifts. Reliab. Eng. Syst. Saf. 239: 109490 (2023) - [j16]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) - [j15]Xiaoli Zhao, Jianyong Yao, Wenxiang Deng, Peng Ding, Jichao Zhuang, Zheng Liu:
Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions. IEEE Trans. Ind. Informatics 19(1): 166-176 (2023) - [j14]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) - [j13]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
- [j12]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) - [j11]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) - [j10]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) - [j9]Peng Ding, Minping Jia:
Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data. IEEE Trans. Ind. Informatics 18(4): 2374-2385 (2022) - [j8]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
- [j7]Peng Ding, Minping Jia, Xiaoli Zhao:
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics. Appl. Soft Comput. 104: 107211 (2021) - [j6]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) - [j5]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) - [j4]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
- [j3]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) - [j2]Weigang Bao, Hua Wang, Jie Chen, Bo Zhang, Peng Ding, Jie Wu, Peiyu He:
Life prediction of slewing bearing based on isometric mapping and fuzzy support vector regression. Trans. Inst. Meas. Control 42(1): 94-103 (2020) - [c1]Peng Ding, Minping Jia:
Intelligent health evaluation of rolling bearings based on subspace meta-learning. INDIN 2020: 750-754
2010 – 2019
- 2019
- [j1]Peng Ding, Qinrong Qian, Hua Wang, Jianyong Yao:
A Symbolic Regression Based Residual Useful Life Model for Slewing Bearings. IEEE Access 7: 72076-72089 (2019)
Coauthor Index
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