Rotor-Mechanical Coupled Fault Feature Extraction Based on Second-order Blind Identification

Abstract

Noise reduction usually is conducted before analysis of mechanical fault feature, which could damage effective signals. This article proposes an algorithm of blind source separation based on the second-order statictics. The method focuses on noise separation rather than noise removal. So there are no harms to effective signals. This idea might provide a new way for noise reduction. The algorithm of blind source separation based on the second-order statistics blind identification is applied to seismic data. The results show that the algorithm is effect, noises are separated and re-moved, and the rotor fault feature is picked up.