조명전기설비학회논문지 (Journal of the Korean Institute of Illuminating and Electrical Installation Engineers)

  • 제18권4호
  • /
  • Pages.104-111
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  • 2004
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  • 1229-4691(pISSN)
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  • 2287-5034(eISSN)
한국조명전기설비학회 (The Korean Institute of IIIuminating and Electrical Installation Engineers)
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선형판별분석기법을 이용한 유도전동기의 고장진단

Fault Diagnosis of Induction Motor using Linear Discriminant Analysis

  • 전병석 (충북대학교 전기공학과) ;
  • 이상혁 (부산대학교 전자전기컴퓨터공학) ;
  • 박장환 (충주대학교 정보제어공학과) ;
  • 유정웅 (충북대학교 전기전자컴퓨터공학부) ;
  • 전명근 (충북대학교 전기전자컴퓨터공학부)
  • 발행 : 2004.07.01
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초록

본 논문에서는 산업전반에 걸쳐 널리 사용되는 유도전동기의 고장상태를 검출하기 위해 선형판별분석기법에 기반을 둔 진단 알고리즘을 제안하고자 한다. 제안된 기법은 우선 주기별로 실험에 의해 측정된 전류값의 입력차원을 주성분분석기법을 이용하여 축소한 후 선형판별분석기법을 이용하여 고장상태별로 특징벡터를 추출한다. 다음으로 진단단계는 확보된 고장 종류별 특징벡터와 운전 시 입력되는 특징벡터간의 유클리디안 거리를 이용하여 유도전동기의 운전상태를 진단하는 구조로 되어있다. 마지막으로 선형판별분석기법의 타당성을 보이기 위해 노이즈가 있는 다양한 조건하에서 실험한 결과, 주성분분석기법만을 이용한 경우보다 우수한 결과를 나타냈다.

In this paper, we propose a diagnosis algorithm to detect faults of induction motor using LDA First, after reducing the input dimension of a current value measured by experiment at each period using PCA method, we extract characteristic vectors for each fault using LDA Next, we analyze the driving condition of an induction motor using the Euclidean distance between a precalculated characteristic vector and an input vector. Finally, from the experiments under various noise conditions showing the properties of the LDA method, we obtained better results than the case of using the PCA method.

키워드

참고문헌

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