한국소음진동공학회:학술대회논문집 (Proceedings of the Korean Society for Noise and Vibration Engineering Conference)
- 한국소음진동공학회 2003년도 춘계학술대회논문집
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- Pages.839-845
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- 2003
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- 1598-2548(pISSN)
BSS를 이용한 회전 기계 진단 신호 분석
Identification of fault signal for rotating machinery diagnosis using Blind Source Separation (BSS)
- Seo, Jong-Soo ;
- Lee, Jeong-Hak ;
- J. K. Hammond (ISVR, University of Southampton, UK)
- 발행 : 2003.05.01
초록
This paper introduces multichannel blind source separation (BSS) and multichannel blind deconvolution (MBD) based on higher order statistics of signals from convolutive mixtures. In particular, we are concerned with the case that the number of inputs is the same as the number of outputs. Simulations for two input two output cases are carried out and their performances are assessed. One of the major applications of those sequential algorithms (BSS and MBD) is demonstrated through the fault signal detection from only a single measurement of rotating machine, which offers a certain degree of practicability in the engineering field such as machine health monitoring or condition monitoring.
키워드
- Blind;
- BSS;
- Cumulant;
- detection;
- higher order;
- kurtosis;
- MBD;
- MIMO mixing;
- separation;
- skewness;
- signal;