Detection and Identification of Demagnetization and Bearing Faults in PMSM Using Transfer Learning-Based VGG

Detection and Identification of Demagnetization and Bearing Faults in PMSM Using Transfer Learning-Based VGG

Predictive maintenance in the permanent magnet synchronous motor (PMSM) is of paramount importance due to its usage in electric vehicles and other applications. Recently various deep learning techniques are applied for fault detection and identification (FDI). However, it is very hard to optimally t...

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Bibliographic Details
Main Authors: Zia Ullah, Bilal Ahmad Lodhi, Jin Hur
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Energies
Subjects:
deep learning
fault diagnosis
demagnetization fault
bearing fault
PMSM
Online Access:https://www.mdpi.com/1996-1073/13/15/3834

Internet

https://www.mdpi.com/1996-1073/13/15/3834

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