Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers

Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers

Efficient fault diagnosis of electrical and mechanical anomalies in induction motors (IMs) is challenging but necessary to ensure safety and economical operation in industries. Research has shown that bearing faults are the most frequently occurring faults in IMs. The vibration signals carry rich in...

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Bibliographic Details
Main Authors: Rafia Nishat Toma, Alexander E. Prosvirin, Jong-Myon Kim
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
bearing fault diagnosis
condition monitoring
decision tree
genetic algorithm
induction motors
KNN
Online Access:https://www.mdpi.com/1424-8220/20/7/1884

Internet

https://www.mdpi.com/1424-8220/20/7/1884

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