Support Vector Machine Aided Diagnosis of Concurrent Multiple Faults in Induction Motor
Author:
Affiliation:
1. Nagoya Institute of Technology,Department of Electrical and Mechanical Engineering,Aichi,Nagoya,Japan
2. TOENEC Corporation,R&D Division,Aichi,Nagoya,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10143075/10143030/10143119.pdf?arnumber=10143119
Reference31 articles.
1. A Diagnosis Method of Bearing and Stator Fault in Motor Using Rotating Sound Based on Deep Learning
2. Deep Learning Based Approach for Bearing Fault Diagnosis
3. A review of condition monitoring of induction motors based on stray flux
4. Induction Machine Bearing Fault Detection by Means of Statistical Processing of the Stray Flux Measurement
5. Proseccing, neural network-based modeling of biomonitoring studies data and validation on republic of moldova data;precup;Proc Rom Acad - Math Phys Tech Sci Inf Sci,0
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