Statistical signal processing of acoustic emission and their parameters
Journal Title: Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì - Year 2016, Vol 854, Issue
Abstract
The methodological principles of the processing of acoustic emission signals for nondestructive testing of metal and observing the dynamics of developing defects. Statistical analysis of information AE signal parameters is based on search of the following information attributes: the average value of the amplitude of individual signals, the average interval between single acts amplitude variance, the variance of intervals, the correlation coefficient between the values of the amplitudes and intervals, the observation of the current implementation. The determining role of wavelet transforms in the allocation of the desired signal to noise background has been demonstrated.
Authors and Affiliations
Volodimìr Marasanov, Oleksandr Sharko, Artem Sharko
Keywords
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