Application of Singular Value Decomposition Method for Acoustic Emission Data Analysis

Abstract

The article describes the possibilities of the singular decomposition method in the study of acoustic emission data. Acoustic signals of various nature were used as an object of study. A method of acoustic signals identification based on singular spectrums and additive components contribution is presented in the paper. At the moment, singular spectral analysis method has not practically been considered at acoustic signals researching. The obtained results are fundamentally new and confirm the promise of the method, in particular when solving the identification task.