Decision fusion scheme for bearing defects diagnosis in induction motors

Author:

Agahi HamedORCID,Mahmoodzadeh Azar

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Electrical and Electronic Engineering

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Intelligent fault diagnosis methods for hydraulic components based on information fusion: review and prospects;Measurement Science and Technology;2024-05-14

2. Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors;Engineering Applications of Artificial Intelligence;2024-04

3. Decision Fusion Network Based on Lightweight Multi-Head Attention Mechanism for Motor Fault Diagnosis;2023 3rd International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT);2023-07-21

4. A Novel Ensemble Learning-Based Multisensor Information Fusion Method for Rolling Bearing Fault Diagnosis;IEEE Transactions on Instrumentation and Measurement;2023

5. An intelligent bearing fault diagnosis based on hybrid signal processing and Henry gas solubility optimization;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2022-05-21

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