独立成分分析を用いた機械振動系のブラインド同定実験と構造変化検出

抄録

This paper studies a method for blind identification based upon independent component analysis. By observing vibration of a mechanical system subject to unknown but independent signals, the method makes it possible to identify partial data of the system parameter and to estimate the unknown input signals. Then, by monitoring independence of the estimated signals, the paper gives a method for detecting the change in mechanical parameter. This can be applied to fault detection of operating machines without any special sensor for the fault. An experiment with a flexible structure is carried out to verify these methods.