Peng Ding

发表

Fault Diagnosis of Rolling-Element Bearing Using Multiscale PatternGradient SpectrumEntropyCoupledwith Laplacian Score

M. Jia, Xiaoan Yan, Y. Liu, 2020 .

Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation

M. Jia, Peng Ding, Yifei Ding, 2022, Appl. Soft Comput..

Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions

Jianyong Yao, Peng Ding, Jichao Zhuang, 2023, IEEE Transactions on Industrial Informatics.

Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings

Peng Ding, Minping Jia, Yifei Ding, 2021, Reliab. Eng. Syst. Saf..

Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network

Peng Ding, Minping Jia, Yifei Ding, 2021, Measurement.

Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data

Peng Ding, Minping Jia, Xiaoli Zhao, 2021, IEEE Transactions on Instrumentation and Measurement.

A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder

Peng Ding, Minping Jia, Yifei Ding, 2021, IEEE Transactions on Instrumentation and Measurement.

Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors

Peng Ding, Minping Jia, Yifei Ding, 2021, Reliab. Eng. Syst. Saf..

Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network.

Jianyong Yao, M. Jia, Peng Ding, 2022, IEEE transactions on neural networks and learning systems.

Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data

Peng Ding, Minping Jia, M. Jia, 2021, IEEE Transactions on Industrial Informatics.

Meta deep learning based rotating machinery health prognostics toward few-shot prognostics

Peng Ding, Minping Jia, Xiaoli Zhao, 2021, Appl. Soft Comput..

Stationary subspaces-vector autoregressive with exogenous terms methodology for degradation trend estimation of rolling and slewing bearings

Peng Ding, Minping Jia, Xiaoan Yan, 2021 .

Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions

M. Jia, Chi-Guhn Lee, Peng Ding, 2022, Knowl. Based Syst..

Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations

Jianyong Yao, M. Jia, Xingjun Zhu, 2023, Sensors.

Intelligent Fault Diagnosis of Multichannel Motor–Rotor System Based on Multimanifold Deep Extreme Learning Machine

Zheng Liu, Minping Jia, Chen Yang, 2020, IEEE/ASME Transactions on Mechatronics.

Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation

M. Jia, Peng Ding, Yifei Ding, 2022, IEEE/ASME Transactions on Mechatronics.

A Multi-objective Deep Reinforcement Learning Approach for Stock Index Future’s Intraday Trading

Ruonan Rao, Peng Ding, Jinke Li, 2017, 2017 10th International Symposium on Computational Intelligence and Design (ISCID).

Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data

M. Jia, Peng Ding, Yifei Ding, 2022, Adv. Eng. Informatics.

Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals

M. Jia, Chi-Guhn Lee, Peng Ding, 2022, IEEE Transactions on Instrumentation and Measurement.

Machinery cross domain degradation prognostics considering compound domain shifts

M. Jia, Peng Ding, Xiaoli Zhao, 2023, Reliab. Eng. Syst. Saf..

Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data

M. Jia, Peng Ding, Yifei Ding, 2023, IEEE Transactions on Industrial Informatics.

Ensemble Model for Stock Price Movement Trend Prediction on Different Investing Periods

Jian Yang, Ruonan Rao, Peng Ding, 2016, 2016 12th International Conference on Computational Intelligence and Security (CIS).

A dynamic structure-adaptive symbolic approach for slewing bearings’ life prediction under variable working conditions

Peng Ding, Minping Jia, Hua Wang, 2020 .

HYGP-MSAM based model for slewing bearing residual useful life prediction

Rongjing Hong, Hua Wang, Peng Ding, 2019, Measurement.

A Symbolic Regression Based Residual Useful Life Model for Slewing Bearings

Jianyong Yao, Peng Ding, Hua Wang, 2019, IEEE Access.

Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery

M. Jia, Peng Ding, Yifei Ding, 2023, Mechanical Systems and Signal Processing.