Modulated Gabor filter based deep convolutional network for electrical motor bearing fault classification and diagnosis

Abstract The high applicability of the electrical motor has led to gain attention in condition monitoring to diagnosis the most common type of fault in this machine, bearing element. The emergence of deep neural networks (DNN) provides the opportunity to design a network for early bearing fault diag...

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Bibliographic Details
Main Authors: Shahabodin Afrasiabi, Mohammad Mohammadi, Mousa Afrasiabi, Benyamin Parang
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:IET Science, Measurement & Technology
Online Access:https://doi.org/10.1049/smt2.12017