Peng Ding
Orcid: 0000-0003-4419-4858Affiliations:
- Yangzhou University, School of Mechanical Engineering, Yangzhou, China
- Southeast University, School of Mechanical Engineering, Nanjing, China (PhD)
According to our database1,
Peng Ding
authored at least 25 papers
between 2019 and 2025.
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Bibliography
2025
A New Intelligent Recognition Method for Surface Electromyography in IoT Systems Using OmniXceptionDBN.
IEEE Internet Things J., July, 2025
Two-Distribution Approximate Evaluation of Multiwavelet Cascade Feature Method for Noise Unbalanced Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025
2024
A novel transformer-based few-shot learning method for intelligent fault diagnosis with noisy labels under varying working conditions.
Reliab. Eng. Syst. Saf., 2024
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence.
Reliab. Eng. Syst. Saf., 2024
Knowl. Based Syst., 2024
Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions.
Adv. Eng. Informatics, 2024
2023
Reliab. Eng. Syst. Saf., November, 2023
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data.
IEEE Trans. Ind. Informatics, April, 2023
Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions.
IEEE Trans. Ind. Informatics, 2023
Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations.
Sensors, 2023
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions.
Knowl. Based Syst., 2023
2022
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals.
IEEE Trans. Instrum. Meas., 2022
Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data.
IEEE Trans. Ind. Informatics, 2022
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings.
Reliab. Eng. Syst. Saf., 2022
Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation.
Appl. Soft Comput., 2022
Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data.
Adv. Eng. Informatics, 2022
2021
Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data.
IEEE Trans. Instrum. Meas., 2021
A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder.
IEEE Trans. Instrum. Meas., 2021
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors.
Reliab. Eng. Syst. Saf., 2021
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics.
Appl. Soft Comput., 2021
2020
Life prediction of slewing bearing based on isometric mapping and fuzzy support vector regression.
Trans. Inst. Meas. Control, 2020
Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score.
Complex., 2020
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
2019
IEEE Access, 2019