Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
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Главная Current Issue
07 | 12 | 2025
2025, 12 December

DOI: 10.14489/td.2025.12.pp.018-029

Burda E. A., Bogomolov D. E., Naumenko A. P., Kudryavtseva I. S.
ENTROPY APPROACH IN LOCATING THE ACOUSTIC EMISSION SIGNAL SOURCE
(pp. 18-29)

Abstract. In recent years, Acoustic Emission (AE) has been increasingly used to assess the integrity of various structures, facilities and pressurised equipment. In order to detect the location of active AE sources, which usually indicate the presence of damage, it is necessary to estimate the time of arrival (ToA) of the signals received by sensors located at the site. Correct estimation of the ToA can be difficult due to the presence of environmental noise and industrial interference in the signals. In this paper, we propose an approach based on the calculation of signal entropy to reduce the influence of noise on the ToA calculation. For this purpose, the local (information) entropy of the signals arriving at the sensors is calculated and the estimation of the ToA difference (DToA) between the two signals is performed based on the Akaike Information Criterion (AIC). The method is experimentally verified on a hydraulic bench at simulation of AE sources using the Hsu-Nielsen method. The received signals were additionally noised with Gaussian noise of different levels. The proposed noise reduction method significantly improved the accuracy and reproducibility of location of AE events for critical values of signal-to-noise ratio (from 12 to 2 dB). Overall, the proposed method has the potential to improve fault detection and localisation in AE signal processing in industrial and civil applications.

Keywords: acoustic emission, signal denoising, localization, entropy filter, signal processing.

E. A. Burda (LLC VS ENGINEERING, Omsk, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
D. E. Bogomolov (Research Centre on Electronic Systems for Information and Communication Technologies, University of Bologna, Bologna, Italy) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
A. P. Naumenko, I. S. Kudryavtseva (Federal State Educational Institution of Higher Education “Omsk State Technical University”, Omsk, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

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