Application of Wavelet Entropy and KNN in Motor Fault Diagnosis

Traditional motor bearing fault diagnosis methods lack effective feature extraction and high fault diagnosis accuracy. In this paper, a method for combining wavelet energy entropy and cubic KNN algorithm to motor fault diagnosis was proposed based on the Case Western Reserve University Bearing Data...

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Bibliographic Details

Published in:	2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE) pp. 221 - 226
Main Authors:	Ma, Jingfeng, Li, Jiaxin, Wang, Wenjie
Format:	Conference Proceeding
Language:	English
Published:	IEEE 27-05-2022
Subjects:	Electronic components Error analysis Fault diagnosis Feature extraction Frequency-domain analysis KNN algorithm motor bearing Vibrations Wavelet domain wavelet energy entropy
Online Access:	Get full text
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