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PCA를 이용한 신호기반 고장진단 알고리즘
Signal-based Fault Diagnosis Algorithm using PCA
- 류호진;
- 이형철
초록
In this paper, we predict a failure of an aircraft engine using a small aircraft, and the fault diagnosis algorithm is proposed for improving the efficiency of maintenance. The vibration signals collected by the aircraft are converted into the frequency signal using the FFT(Fast Fourier Transform). After that The Averaged Normalized Power Spectral Density(ANPSD) analyze change of peak of signal and The Principal Component Analysis(PCA) increase the efficiency of calculation. Especially PCA is used to reduce the sensitivity of RPM. In this paper, an algorithm is verified by experiments.
키워드
Fault diagnosis(고장 진단); Averaged Normalized Power Spectral Density(평균 정규화 파워 스펙트럼 밀도); Principal Component Analysis(주성분 분석)
- 제목
- PCA를 이용한 신호기반 고장진단 알고리즘
- 제목 (타언어)
- Signal-based Fault Diagnosis Algorithm using PCA
- 저자
- 류호진; 이형철
- 발행일
- 2015-11
- 유형
- Proceeding
- 저널명
- 한국항공우주학회 2015년도 추계학술대회
- 페이지
- 2185 ~ 2188