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NTIS 바로가기제어·자동화·시스템공학 논문지 = Journal of control, automation and systems engineering, v.13 no.6, 2007년, pp.513 - 518
이대종 (충북대학교 충북정보기술사업단) , 송창규 (충북대학교 충북정보기술사업단) , 이재경 (충주대학교 정보제어공학과) , 전명근 (충북대학교 전기전자컴퓨터공학부)
In this paper, we propose a fault diagnosis scheme tor induction motor by adopting a hierarchical classifier consisting of k-Nearest Neighbors(k-NN) and Support Vector Machine(SVM). First, some motor conditions are classified by a simple k-NN classifier in advance. And then, more complicated classes...
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W. T. Thomson and M. Fenger, 'Current signature analysis to detect induction motor faults.' IEEE Ind. Applicat. Magazine, pp. 26-34, July/August 2001
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