Fault diagnosis of electrical machines-a review-Reference-Cited by-同舟云学术

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Fault diagnosis of electrical machines-a review

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Container-title:IEEE International Electric Machines and Drives Conference. IEMDC'99. Proceedings (Cat. No.99EX272)
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Author:

Nandi S.,Toliyat H.A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6235/16654/00769076.pdf?arnumber=769076

Cited by 36 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. Multi-Power System Electrical Source Fault Review;Energies;2024-03-01

2. An AI-based Architecture Framework for Improving End-of-line Reliability Tests of Electric Motors;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17

3. Rolling element bearing fault diagnosis using supervised learning methods- artificial neural network and discriminant classifier;International Journal of System Assurance Engineering and Management;2022-08-24

4. Detection of Broken Rotor Bar Fault in an Induction Motor Employing Motor Current Signature Analysis;Recent Advances in Power Electronics and Drives;2022

5. High Resolution based Bearing Damage Identification in Poly Phase Asynchronous Motor using Gabor Transforms of Stator Current;2021 IEEE Bombay Section Signature Conference (IBSSC);2021-11-18

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