Jian Ma
Orcid: 0000-0001-5932-469XAffiliations:
- Beihang University, School of Reliability and Systems Engineering, Beijing, China
According to our database1,
Jian Ma
authored at least 16 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Open-Set Fault Recognition and Inference for Rolling Bearing Based on Open Fault Semantic Subspace.
IEEE Trans. Instrum. Meas., 2024
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., 2024
A rail defect detection framework under class-imbalanced conditions based on improved you only look once network.
Eng. Appl. Artif. Intell., 2024
An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges.
CoRR, 2024
2023
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning.
Expert Syst. Appl., December, 2023
A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox.
Reliab. Eng. Syst. Saf., September, 2023
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., February, 2023
2022
An adversarial model for electromechanical actuator fault diagnosis under nonideal data conditions.
Neural Comput. Appl., 2022
A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning.
Adv. Eng. Informatics, 2022
2021
An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network.
Expert Syst. Appl., 2021
State-of-Health Prediction for Reaction Wheel of On-Orbit Satellite Based on Fourier Broad Learning System.
IEEE Access, 2021
2019
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach.
Adv. Eng. Informatics, 2019
A Generative Adversarial Network-Based Intelligent Fault Diagnosis Method for Rotating Machinery Under Small Sample Size Conditions.
IEEE Access, 2019
2018
Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning.
Complex., 2018
Fault Diagnosis of Electromechanical Actuator Based on VMD Multifractal Detrended Fluctuation Analysis and PNN.
Complex., 2018
2017
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification.
Signal Process., 2017