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ORCIDJian Ma 0006
Person information
- affiliation: Beihang University, School of Reliability and Systems Engineering, Beijing, China
Other persons with the same name
- Jian Ma — disambiguation page
- Jian Ma 0001 — Wuxi Sensingnet Industralization Research Institute, China (and 3 more)
- Jian Ma 0002 — University of Electronic Science and Technology of China, School of Microelectronics and Solid-State Electronics, Chengdu, China
- Jian Ma 0003
![[0000-0002-9091-2040]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9091-2040")
— Shanghai Ocean University, College of Marine Sciences, China - Jian Ma 0004 — Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA (and 3 more)
- Jian Ma 0005 — Shanghai University, Shanghai Institute for Advanced Communication and Data Science, China
- Jian Ma 0007 — Suzhou University of Science and Technology, School of Civil Engineering, China (and 1 more)
- Jian Ma 0008 — City University of Hong Kong, Department of Information Systems, Hong Kong (and 2 more)
- Jian Ma 0009 — Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, China (and 1 more)
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2020 – today
- 2024
[j15]Yu Ding, Qin Zhao, Tianhao Li, Chen Lu, Laifa Tao, Jian Ma:
A rail defect detection framework under class-imbalanced conditions based on improved you only look once network. Eng. Appl. Artif. Intell. 138: 109351 (2024)- [j14]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: 110166 (2024) - [j13]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: 1-11 (2024) - [i1]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 abs/2407.03374 (2024) - 2023
- [j12]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: 121001 (2023) - [j11]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): 2947-2971 (2023) - [j10]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: 109372 (2023) - 2022
- [j9]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: 101665 (2022) - [j8]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): 5883-5904 (2022) - 2021
- [j7]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: 125691-125705 (2021) - [j6]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: 115234 (2021)
2010 – 2019
- 2019
- [j5]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: 149736-149749 (2019) - [j4]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) - 2018
- [j3]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: 3813029:1-3813029:13 (2018) - [j2]Hongmei Liu, Jiayao Jing, Jian Ma:
Fault Diagnosis of Electromechanical Actuator Based on VMD Multifractal Detrended Fluctuation Analysis and PNN. Complex. 2018: 9154682:1-9154682:11 (2018) - 2017
- [j1]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: 377-388 (2017)
Coauthor Index
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