Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview
Author:
Affiliation:
1. Department of Electrical, Computer, Communications and System Engineering, University of Oviedo, Gijón, Spain
Funder
Ingeteam Power Technology S.A., through the Government of the Principality of Asturias
Ministerio de Ciencia e Innovación (MCNIN)/Agencia Estatal de Investigación (AEI)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10438419.pdf?arnumber=10438419
Reference80 articles.
1. A review of induction motors signature analysis as a medium for faults detection
2. A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors
3. Current signature analysis to detect induction motor faults
4. Modeling and Simulation of Faulty Induction Motor in DQ Reference Frame Using MATLAB/SIMULINK with MATLAB/GUIDE for Educational Purpose
5. Recent Advances in Modeling and Online Detection of Stator Interturn Faults in Electrical Motors
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