Fault Diagnosis System of Induction Motors Using Feature Extraction, Feature Selection and Classification Algorithm
Author:
Affiliation:
1. School of Mechanical Engineering, Pukong National University
2. School of Mechanical Engineering, University of Science and Technology Beijing
Publisher
Japan Society of Mechanical Engineers
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Link
http://www.jstage.jst.go.jp/article/jsmec/49/3/49_3_734/_pdf
Reference25 articles.
1. Case-based reasoning system with Petri nets for induction motor fault diagnosis
2. An analytical approach to solving motor vibration problems
3. On-line current monitoring to diagnose airgap eccentricity in large three-phase induction motors-industrial case histories verify the predictions
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