A first arrival identification system of acoustic emission (AE) signals by means of a high-order statistics approach

Abstract

One of the fundamental problems in non-destructive testing and geophysics is the precise determination of the first arrival of acoustic emission (AE) signals (or seismic signals) recorded by multi-channel systems. The knowledge of this time is very important, mainly in the case of automatic localization of individual AE events. Several approaches are routinely used in practice such as crossing of the threshold level, analysis of the LTA/STA (long-time average/short-time average), etc. In our paper, an approach based on high-order statistics (HOS) that is able to carry out precise arrival time determination without human intervention is presented. The approach was tested on real AE data recorded by an eight-channel recording system. This simple, accurate and quite fast method is predetermined to be used in automatic processing of transient waveform data from acoustic emission, seismic signals, ultrasonic sounding, etc.

Review on Structural Health Evaluation with Acoustic Emission

“…Their algorithms have been implemented into hardware. This approach traces back to high-order statistics and the use of short-time average and long-time average as used by Lokajícek [170]. Another method of hit time of arrival based on wavelet transform was given by Pomponi [171].…”

Laboratory measurement of elastic anisotropy on spherical rock samples by longitudinal and transverse sounding under confining pressure

“…3D of P-, S1-, S2-wave velocities are shown as an example. P-arrivals are determined automatically by means of HOS method [40]. On the contrary S1 and S2 time arrivals has to be determined manually, as till now does not exists any automatic procedure for shear wave arrival determination on ultrasonic signals.…”

Application decomposition in space with a generative elements for solving problems of probabilistic diagnostics

“…Прикладами використання даного описового апарату в різних прикладних задачах, пов'язаних із розладкою, є: визначення моменту приходу сигналів акустичної емісії [10], детектування відеопотоків [11], виявлення атак в телекомунікаційних мережах [12], виявлення дефектів підшипників [13], діагностування сигналів електрокардіограм [14].…”