A data-driven Model for Fault Diagnosis of Induction Motor for Electric Powertrain
Author:
Affiliation:
1. Green Tech Institute Mohammed VI Polytechnic University,Benguerir,Morocco
2. Green Tech Institute, UM6P,Benguerir Hassan I University,Settat,Morocco
3. Green Tech Institute, UM6P,Benguerir Hassan II University of Casablanca,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9842860/9842863/09843046.pdf?arnumber=9843046
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1. Experimental database for detecting and diagnosing rotor broken bar in a three-phase induction motor;maciejewski,2020
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3. Modelling of shaft unbalance: Modelling a multi discs rotor using K-Nearest Neighbor and Decision Tree Algorithms
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5. A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM
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