Hui Ma
Orcid: 0000-0002-9812-0806Affiliations:
- Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China (PhD 2007)
According to our database1,
Hui Ma authored at least 26 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
Environment-Aware graph relational reasoning for interpretable and generalizable mechanical transmission system distributed fault diagnosis.
Expert Syst. Appl., 2026
Dynamic modeling and validation of disk-drum rotor system with angular contact ball bearing considering parallel and angular coupling misalignment.
Commun. Nonlinear Sci. Numer. Simul., 2026
2025
IEEE Trans. Ind. Informatics, July, 2025
Lifelong Monitoring of Bearing-Rotor Systems Over Whole Life Cycle: An Emerging Paradigm.
IEEE Trans. Ind. Informatics, February, 2025
Research on Quantitative Diagnosis of Helical Gear Pitting Fault Severity Based on CycleGAN and Improved DANN.
IEEE Trans. Instrum. Meas., 2025
Multimodal unified generalization and translation network for intelligent fault diagnosis under dynamic environments.
Eng. Appl. Artif. Intell., 2025
Axial rubbing-induced nonlinear vibration of shaft-disk system considering base motion.
Commun. Nonlinear Sci. Numer. Simul., 2025
A novel deep denoising model integrating transformer and time-frequency loss for gearbox fault diagnosis.
Adv. Eng. Informatics, 2025
2024
Performance degradation assessment of rolling bearing cage failure based on enhanced CycleGAN.
Expert Syst. Appl., 2024
A novel metric-based model with the ability of zero-shot learning for intelligent fault diagnosis.
Eng. Appl. Artif. Intell., 2024
2023
Simul. Model. Pract. Theory, 2023
2022
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022
MMFNet: Multisensor Data and Multiscale Feature Fusion Model for Intelligent Cross-Domain Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
2021
Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning.
IEEE Trans. Ind. Informatics, 2021
Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning.
IEEE Trans. Ind. Informatics, 2021
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions.
Reliab. Eng. Syst. Saf., 2021
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision.
Knowl. Based Syst., 2021
IEEE Access, 2021
IEEE Access, 2021
2020
A Combined Polynomial Chirplet Transform and Synchroextracting Technique for Analyzing Nonstationary Signals of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2020
Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks.
Neural Networks, 2020
Data alignments in machinery remaining useful life prediction using deep adversarial neural networks.
Knowl. Based Syst., 2020
Domain generalization in rotating machinery fault diagnostics using deep neural networks.
Neurocomputing, 2020
Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation.
Neurocomputing, 2020
Dynamic Modelling Considering Nonlinear Factors of Coupled Spur Gear System and Its Experimental Research.
IEEE Access, 2020
Uncertain Frequency Responses of Clamp-Pipeline Systems Using an Interval-Based Method.
IEEE Access, 2020