Intelligent systems applied on the estimation of bearing faults in inverter-fed induction motors

Author:

Godoy W. F.,Palacios R. H. C.,da Silva I. N.,Goedtel A.,da Silva P. P. D.

Publisher

IEEE

Cited by 5 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. Thermography-Based Method for the Fault Diagnosis of Magnetite-Contaminated Rolling Bearings;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

2. Machine learning and deep learning based methods toward industry 4.0 predictive maintenance in induction motors: State of the art survey;Journal of Industrial Engineering and Management;2022-02-01

3. Bearing Fault Detection in Adjustable Speed Drive-Powered Induction Machine by Using Motor Current Signature Analysis and Goodness-of-Fit Tests;IEEE Transactions on Industrial Informatics;2021-12

4. Automatic detection of thermal anomalies in induction motors;2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2021-09-07

5. A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis;IEEE Transactions on Fuzzy Systems;2019-07

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