01250nas a2200157 4500008004100000020001400041245008300055210006900138260006500207300001300272490000700285520064000292100001900932700002000951856012100971 2013 eng d a0324-721X00aSpectrum Skeletonization: A New Method for Acoustic Signal Feature Extraction.0 aSpectrum Skeletonization A New Method for Acoustic Signal Featur aSzegedbUniversity of Szeged, Institute of Informaticsc2013 a89 - 1030 v213 a
Vibration Analysis Tests (VAT) and Acoustic Emission tests (AE) are used in several industrial applications. Many of them perform analysis in the frequency domain. Peaks in the power density spectrum hold relevant information about acoustic events. In this paper we propose a novel method for feature extraction of vibration samples by analyzing the shape of their auto power spectrum density function. The approach uses skeletonization techniques in order to find the hierarchical structure of the spectral peaks. The proposed method can be applied as a preprocessing step for spectrum analysis of vibration signals.
1 aDobján, Tibor1 aNémeth, Gábor uhttps://www.inf.u-szeged.hu/publication/spectrum-skeletonization-a-new-method-for-acoustic-signal-feature-extraction