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http://dx.doi.org/10.5391/JKIIS.2007.17.6.819

Fault Diagnosis of Induction Motors by DFT and Wavelet  

Kwon, Mann-Jun (충북대학교 전기전자컴퓨터공학부)
Lee, Dae-Jong (충북대학교 BK21충북정보기술사업단)
Park, Sung-Moo (한국폴리텍 IV대학 청주캠퍼스 전기과)
Chun, Myung-Geun (충북대학교 전기전자컴퓨터공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.6, 2007 , pp. 819-825 More about this Journal
Abstract
In this paper, we propose a fault diagnosis algorithm of induction motors by DFT and wavelet. We extract a feature vector using a fault pattern extraction method by DFT in frequency domain and wavelet transform in time-frequency domain. And then we deal with a fusion algorithm for the feature vectors extracted from DFT and wavelet to classify the faults of induction motors. Finally, we provide an experimental results that the proposed algorithm can be successfully applied to classify the several fault signals acquired from induction motors.
Keywords
Fault diagnosis; Induction motor; DFT; Wavelet transform;
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