Convolutional neural network with batch normalisation for fault detection in squirrel cage induction motor

Convolutional neural network with batch normalisation for fault detection in squirrel cage induction motor

Abstract Early fault detection in an induction motor is the need of modern industries for minimal downtime and maximum production. A learning technique known as the Convolutional Neural network (CNN) provides automated and reliable feature extraction and selection. Considering these inherent traits...

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Bibliographic Details
Main Authors: Prashant Kumar, Ananda Shankar Hati
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:IET Electric Power Applications
Subjects:
data handling
fault diagnosis
feature extraction
gradient methods
learning (artificial intelligence)
machine bearings
Online Access:https://doi.org/10.1049/elp2.12005

Internet

https://doi.org/10.1049/elp2.12005

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