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.
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