Application of Convolutional Neural Network for Fault Diagnosis of Bearing Scratch of an Induction Motor

The demand for the condition monitoring of induction motors is increasing in various fields, such as industry, transportation, and daily life. Bearing faults are the most common faults, and many fault diagnosis methods have been proposed using artificial pitting as the fault factor in most cases. Ho...

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Bibliographic Details
Main Authors: Shrinathan Esaki Muthu Pandara Kone, Kenichi Yatsugi, Yukio Mizuno, Hisahide Nakamura
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/11/5513