한국소음진동공학회:학술대회논문집 (Proceedings of the Korean Society for Noise and Vibration Engineering Conference)
- 한국소음진동공학회 2000년도 춘계학술대회논문집
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- Pages.1108-1113
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- 2000
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- 1598-2548(pISSN)
다변량 통계 분석 방법을 이용한 회전기계 이상 온라인 감시
On-Line Condition Monitoring for Rotating Machinery Using Multivariate Statistical Analysis
초록
A condition monitoring methodology for rotating machinery is proposed based on multivariate statistical analysis. The CMS usually are using the vibration signal amplitude such as acceleration RMS, peak and velocity RMS to detect machine faults but the information is not so enough that CMS cannot perform reliable monitoring. So new parameters are added such as shape factor, crest factor, kurtosis and skewness as time domain parameters and spectrum amplitude of rotating frequency,
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