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Article

A Comprehensive Methodology for CNN Based Fault Identification in Induction Motors – A Case Study for EV’s

2024-06-28

Abstract excerpt

<title>Abstract</title> <p>This paper introduces an advanced methodology employing Convolutional Neural Networks (CNNs) for fault detection in induction motors, with a special focus on electric vehicles (EVs). Induction motors are critical to the operational efficiency of EVs, where their performance directly affects vehicle safety, reliability, and range. Traditional fault detection methods often fail to keep pa...

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Literature Corpus work
326f57c7-ba90-5115-8f68-1c1be1d3178a
DOI
10.21203/rs.3.rs-4523236/v1
Open publication

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A Comprehensive Methodology for CNN Based Fault Identification in Induction Motors – A Case Study for EV’sDOI 10.21203/rs.3.rs-4523236/v1
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