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 19 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Fault sample generation under continuous degradation using CRGAN-MDTR: A conditional recurrent GAN with maximum degenerate trend retention.
Appl. Soft Comput., 2026
2025
Quantitative recommendation of fault diagnosis algorithms based on multi-order random graph convolution under case-learning paradigm.
Adv. Eng. Informatics, 2025
Exploration of Teaching Reform in the Course of Intelligent Prediction in the Information Age.
Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025
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