FAULT SIGNALS' BLIND SOURCE SEPARATION IN FREQUENCY DOMAIN AND ITS APPLICATION
Li Qiang · Jixie qiangdu · 2009
Blind source separation(BSS) can be used to separate mixed signals which is combined by the original data linearly,and obtain the source component which is statistically independent.The capacity of independent component analysis(ICA) is usually effected by the phase difference of the mixed signals.For this reason,an improved method called frequency domain BSS is proposed.By the properties of linear addition and phase loss of spectrum analysis,the engineering signals are transformed to frequency domain firstly,and then the spectra are processed by BSS.Simulation results and the application of eddy-current sensor fault detection demonstrate that for ICA the correct preprocessing according to signal structure contribute to feature extraction of mechanical signals effectively.