Machine Learning based Fault Classification using Stray Flux and Stator Current in Induction Motor
Author:
Affiliation:
1. National University of Sciences & Technology (NUST),US.-Pakistan Centre for Advanced Studies in Energy (USPCAS-E),Islamabad,Pakistan,44000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10136637/10136621/10136678.pdf?arnumber=10136678
Reference22 articles.
1. Novel ensemble techniques for classification of rolling element bearing faults
2. Optimization-based improved kernel extreme learning machine for rolling bearing fault diagnosis
3. Diagnostics of mechanical and electrical faults in induction motors using wavelet-based features of vibration and current through support vector machine algorithms for various operating conditions
4. Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests
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