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http://dx.doi.org/10.5391/JKIIS.2006.16.1.119

Fault Diagnosis of Induction Motor based on PCA and Nonlinear Classifier  

Park, Sung-Moo (한국폴리텍대학/청주대학 전기과)
Lee, Dae-Jong (충북대학교 컴퓨터 정보통신 연구소, 전기전자컴퓨터공학부)
Chun, Myung-Geun (충북대학교 컴퓨터 정보통신 연구소, 전기전자컴퓨터공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.1, 2006 , pp. 119-123 More about this Journal
Abstract
In this paper, we propose fault diagnosis of induction motor based on PCA and MLP. To resolve the main drawback of MLP, we calculate the reduced features by PCA in advance. Finally, we develop the diagnosis system based on nonlinear classifier by MLP rather than linear classifier by conventional k-NN. By various experiments, we obtained better classification performance in comparison to the results produced by linear classifier by k-NN.
Keywords
고장진단;주성분분석기법;비선형분류기;다층신경망;유도전동기;
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