Local wave analysis using independent component analysis and its application in feature extraction

In order to remove the components redundancy in the local wave decomposition(LWD), a novel method combining with independent component analysis(ICA) and LWD is proposed. ICA was introduced into LWD, so that the components are orthogonal to each other and the components redundancy can be removed. In the end, a much better decomposition performances can be obtained. Furthermore, integration of LWD with Hilbert envelope analysis is conducted. Experimental analysis results show that the proposed method can be used to decompose non-stationary signal accurately and be useful in fault feature extraction of rotor system.