Analysis of Demagnetization of Amorphous Alloy High-Speed Permanent Magnet Motor

Author:

Khan Muhammad Usama1,Wu Tong1,Rafique Muhammad Zahid1,Li Hongjin1,Khalil Tariq Khan1,Ullah Hameed1

Affiliation:

1. North China Electric Power University,Department of Electrical and Electronics Engineering,Beijing,China

Publisher

IEEE

Reference23 articles.

1. A method for detecting rotor faults in induction motors based on the square of the park’s vector modulus;xinguo;Proceedings of the CSEE,2003

2. Online monitoring and diagnosis way based on spectrum analysis of Hilbert modulus in induction motors;zhenxing;Proceedings of the CSEE,2003

3. Rotor fault feature extraction of motor faults of induction motor based on a modified music method;fang;Proceedings of the CSEE,2007

4. Self-commissioning training algorithms for neural networks with applications to electric machine fault diagnostics

5. Inter turn fault detection of asynchronous motor stator winding based on diagonal recurrent neural network;xuhong;Electric Power Automation Equipment,2009

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1. Application of Machine Learning for Analyzing Demagnetization Fault in IPMSM using Finite Element Method;2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon);2022-11-20

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