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