Jian Ma

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Reinforcement Learning

Rotating Machinery

Fault Diagnosis

Small Sample Size

Top Venues

Neural Comput. Appl.

Adv. Eng. Informatics

Reliab. Eng. Syst. Saf.

Expert Syst. Appl.

Publications

Dengwei Song, Yujie Cheng, An Zhou, Chen Lu, Jin Chong, Jian Ma
Remaining useful life prediction and cycle life test optimization for multiple-formula battery: A method based on multi-source transfer learning. Reliab. Eng. Syst. Saf. 249 (2024)
Yu Chen, Laifa Tao, Xue Liu, Jian Ma, Chen Lu, Hongmei Liu
Open-Set Fault Recognition and Inference for Rolling Bearing Based on Open Fault Semantic Subspace. IEEE Trans. Instrum. Meas. 73 (2024)
Laifa Tao, Shangyu Li, Haifei Liu, Qixuan Huang, Liang Ma, Guoao Ning, Yiling Chen, Yunlong Wu, Bin Li, Weiwei Zhang, Zhengduo Zhao, Wenchao Zhan, Wenyan Cao, Chao Wang, Hongmei Liu, Jian Ma, Mingliang Suo, Yujie Cheng, Yu Ding, Dengwei Song, Chen Lu
An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges. CoRR (2024)
XinYu Zou, Laifa Tao, Lulu Sun, Chao Wang, Jian Ma, Chen Lu
A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox. Reliab. Eng. Syst. Saf. 237 (2023)
Qin Zhao, Yu Ding, Chen Lu, Chao Wang, Liang Ma, Laifa Tao, Jian Ma
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning. Expert Syst. Appl. 234 (2023)
Jian Ma, XinYu Zou, Lulu Sun, Yujie Cheng, Chen Lu, Yuzhuan Su, Jin Chong, Haizu Jin, Yongshou Lin
A prediction-based cycle life test optimization method for cross-formula batteries using instance transfer and variable-length-input deep learning model. Neural Comput. Appl. 35 (4) (2023)
Chao Wang, Yu Ding, Ning Yan, Liang Ma, Jian Ma, Chen Lu, Chao Yang, Yuzhuan Su, Jin Chong, Haizu Jin, Yongshou Lin
A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning. Adv. Eng. Informatics 53 (2022)
Chao Wang, Laifa Tao, Yu Ding, Chen Lu, Jian Ma
An adversarial model for electromechanical actuator fault diagnosis under nonideal data conditions. Neural Comput. Appl. 34 (8) (2022)
Liang Ma, Yu Ding, Zili Wang, Chao Wang, Jian Ma, Chen Lu
An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network. Expert Syst. Appl. 182 (2021)
Xingliu Zhang, Zili Wang, Jian Ma, Shangyu Li, Mingliang Suo
State-of-Health Prediction for Reaction Wheel of On-Orbit Satellite Based on Fourier Broad Learning System. IEEE Access 9 (2021)
Yu Ding, Liang Ma, Jian Ma, Chao Wang, Chen Lu
A Generative Adversarial Network-Based Intelligent Fault Diagnosis Method for Rotating Machinery Under Small Sample Size Conditions. IEEE Access 7 (2019)
Yu Ding, Liang Ma, Jian Ma, Mingliang Suo, Laifa Tao, Yujie Cheng, Chen Lu
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach. Adv. Eng. Informatics 42 (2019)
Hongmei Liu, Jiayao Jing, Jian Ma
Fault Diagnosis of Electromechanical Actuator Based on VMD Multifractal Detrended Fluctuation Analysis and PNN. Complex. 2018 (2018)
Jian Ma, Hua Su, Wan-lin Zhao, Bin Liu
Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning. Complex. 2018 (2018)
Chen Lu, Zhenya Wang, Wei-Li Qin, Jian Ma
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification. Signal Process. 130 (2017)