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Sound Range AE as a Tool for Diagnostics of Large Technical and Natural Objects
Application of acoustic emission of the sound frequency range is under consideration. This range is of current interest for the diagnostics of the stability of mountain slopes, glaciers, ice covers, large technical constructions (bridges, dams, etc.) as well as for the detection of rock deformation...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921829/ https://www.ncbi.nlm.nih.gov/pubmed/36772308 http://dx.doi.org/10.3390/s23031269 |
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author | Marapulets, Yuri Solodchuk, Alexandra Lukovenkova, Olga Mishchenko, Mikhail Shcherbina, Albert |
author_facet | Marapulets, Yuri Solodchuk, Alexandra Lukovenkova, Olga Mishchenko, Mikhail Shcherbina, Albert |
author_sort | Marapulets, Yuri |
collection | PubMed |
description | Application of acoustic emission of the sound frequency range is under consideration. This range is of current interest for the diagnostics of the stability of mountain slopes, glaciers, ice covers, large technical constructions (bridges, dams, etc.) as well as for the detection of rock deformation anomalies preceding earthquakes. Acoustic sensors, which can be used to record and to determine the directivity of acoustic emission of the sound frequency range, are under consideration. The structure of the system for acoustic emission recording, processing and analysis is described. This system makes it possible to determine the direction to the acoustic emission source using one multi-component sensor. We also consider the algorithms for detection of acoustic emission pulses in a noisy background, and for the analysis of their structure using the Adaptive Matching Pursuit algorithm. A method for the detection of the direction to an acoustic emission signal source based on multi-component sensors is described. The results of application of sound range acoustic emission for the detection of the intensification of rock deformations, associated with earthquake preparation and development in the seismically active region of Kamchatka peninsula, are presented. |
format | Online Article Text |
id | pubmed-9921829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99218292023-02-12 Sound Range AE as a Tool for Diagnostics of Large Technical and Natural Objects Marapulets, Yuri Solodchuk, Alexandra Lukovenkova, Olga Mishchenko, Mikhail Shcherbina, Albert Sensors (Basel) Article Application of acoustic emission of the sound frequency range is under consideration. This range is of current interest for the diagnostics of the stability of mountain slopes, glaciers, ice covers, large technical constructions (bridges, dams, etc.) as well as for the detection of rock deformation anomalies preceding earthquakes. Acoustic sensors, which can be used to record and to determine the directivity of acoustic emission of the sound frequency range, are under consideration. The structure of the system for acoustic emission recording, processing and analysis is described. This system makes it possible to determine the direction to the acoustic emission source using one multi-component sensor. We also consider the algorithms for detection of acoustic emission pulses in a noisy background, and for the analysis of their structure using the Adaptive Matching Pursuit algorithm. A method for the detection of the direction to an acoustic emission signal source based on multi-component sensors is described. The results of application of sound range acoustic emission for the detection of the intensification of rock deformations, associated with earthquake preparation and development in the seismically active region of Kamchatka peninsula, are presented. MDPI 2023-01-22 /pmc/articles/PMC9921829/ /pubmed/36772308 http://dx.doi.org/10.3390/s23031269 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marapulets, Yuri Solodchuk, Alexandra Lukovenkova, Olga Mishchenko, Mikhail Shcherbina, Albert Sound Range AE as a Tool for Diagnostics of Large Technical and Natural Objects |
title | Sound Range AE as a Tool for Diagnostics of Large Technical and Natural Objects |
title_full | Sound Range AE as a Tool for Diagnostics of Large Technical and Natural Objects |
title_fullStr | Sound Range AE as a Tool for Diagnostics of Large Technical and Natural Objects |
title_full_unstemmed | Sound Range AE as a Tool for Diagnostics of Large Technical and Natural Objects |
title_short | Sound Range AE as a Tool for Diagnostics of Large Technical and Natural Objects |
title_sort | sound range ae as a tool for diagnostics of large technical and natural objects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921829/ https://www.ncbi.nlm.nih.gov/pubmed/36772308 http://dx.doi.org/10.3390/s23031269 |
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