ANN based On-board Fault Diagnostic for Induction Motor Drive in Low-Cost Electric Vehicles-Reference-Cited by-同舟云学术

ANN based On-board Fault Diagnostic for Induction Motor Drive in Low-Cost Electric Vehicles

Published:2022-03-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Applied Power Electronics Conference and Exposition (APEC)
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Author:

Muduli Utkal Ranjan¹,Hosani Khalifa Al¹,Jaafari Khaled Al¹,Alsawalhi Jamal Y.¹,Al-Sumaiti Ameena Saad¹,Behera Ranjan Kumar²

Affiliation:

1. Khalifa University,APEC, EECS Department,Abu Dhabi,UAE

2. Indian Institute of Technology Patna,Dept. of Electrical Engineering,Patna,India

Funder

Khalifa University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9773364/9773365/09773566.pdf?arnumber=9773566

Reference20 articles.

1. Performance Analysis of Squirrel-Cage Induction Motors Under Broken Rotor Bar and Stator Inter-Turn Fault Conditions Using Analytical Modeling

2. Optimized Neural Network Based Predictive Maintenance for Five-Phase Induction Motor Failure

3. Fault-Tolerant Field-Oriented Control of Three-Phase Induction Motor Based on Unified Feedforward Method

4. Comparative ex-perimental investigation of broken bar fault detectability in induction motors;gyftakis;IEEE Transactions on Industry Applications,2015

5. A Simplified Frequency-Domain Detection of Stator Turn Fault in Squirrel-Cage Induction Motors Using an Observer Coil Technique

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