Deep Transfer Learning Framework for Bearing Fault Detection in Motors

Deep Transfer Learning Framework for Bearing Fault Detection in Motors

The domain of fault detection has seen tremendous growth in recent years. Because of the growing demand for uninterrupted operations in different sectors, prognostics and health management (PHM) is a key enabling technology to achieve this target. Bearings are an essential component of a motor. The...

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Bibliographic Details
Main Authors: Prashant Kumar, Prince Kumar, Ananda Shankar Hati, Heung Soo Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Mathematics
Subjects:
deep learning
transfer learning
prognostics and health management
bearing fault
electrical motor
Online Access:https://www.mdpi.com/2227-7390/10/24/4683

Internet

https://www.mdpi.com/2227-7390/10/24/4683

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