Bearing Fault Identification Using Machine Learning and Adaptive Cascade Fault Observer

Bearing Fault Identification Using Machine Learning and Adaptive Cascade Fault Observer

In this work, a hybrid procedure for bearing fault identification using a machine learning and adaptive cascade observer is explained. To design an adaptive cascade observer, the normal signal approximation is the first step. Therefore, the fuzzy orthonormal regressive (FOR) technique was developed...

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Bibliographic Details
Main Authors: Farzin Piltan, Jong-Myon Kim
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
rotating machine
bearing
adaptive cascade observer
support vector machine
proportional-integral (PI) observer
structure fault observer
Online Access:https://www.mdpi.com/2076-3417/10/17/5827

Internet

https://www.mdpi.com/2076-3417/10/17/5827

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