Title: Feature Extraction Based on Gabor Transform
Abstract: In viewof the periodic or approximately periodic characteristics in the failure signal of rotating machinery,a feature extraction method is presented based on Gabor transform. At first,the Gabor transform is applied to the structure matrix,and the matrix is composed of the signal. According to the time-frequency linear properties in Gabor transform domain,the Gabor expansion coefficients are processed by the average in the groups of Gabor coefficients,then the de-noised signal could be obtained by the inverse Gabor transform.. The simulation demonstrates that the averaging method based on Gabor transform is efective in signal processing,and could provides good prospects of application in failure analysis of rotating machinery.
Publication Year: 2014
Publication Date: 2014-01-01
Language: en
Type: article
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Cited By Count: 1
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