Qibin Wang
Orcid: 0000-0003-4686-5336
According to our database1,
Qibin Wang
authored at least 15 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A domain adaptation method for bearing fault diagnosis using multiple incomplete source data.
J. Intell. Manuf., February, 2024
IEEE Trans. Instrum. Meas., 2024
Unleashing Green Innovation in Enterprises: The Transformative Power of Digital Technology Application, Green Human Resource, and Digital Innovation Networks.
Syst., 2024
Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis.
Reliab. Eng. Syst. Saf., 2024
Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis.
Knowl. Based Syst., 2024
A zero-sample intelligent fault diagnosis method for bearings based on category relationship model.
Eng. Appl. Artif. Intell., 2024
2023
Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach.
Eng. Appl. Artif. Intell., November, 2023
Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data.
Reliab. Eng. Syst. Saf., August, 2023
Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions.
J. Intell. Manuf., February, 2023
2022
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data.
Reliab. Eng. Syst. Saf., 2022
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions.
Knowl. Based Syst., 2022
A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning.
Adv. Eng. Informatics, 2022
2020
A High Generalizable Feature Extraction Method Using Ensemble Learning and Deep Auto-Encoders for Operational Reliability Assessment of Bearings.
Neural Process. Lett., 2020
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020