State-of-the-Art Review on the Acoustic Emission Source Localization Techniques

he acoustic emission technique has been applied successfully for the identification, characterization, and localization of deformations in civil engineering structures. Numerous localization techniques, such as Modal Acoustic Emission, Neural Networks, Beamforming, and Triangulation methods with or...

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Main Authors: Hassan, F., Mahmood, A.K.B., Yahya, N., Saboor, A., Abbas, M.Z., Khan, Z., Rimsan, M.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.29497 /
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110813615&doi=10.1109%2fACCESS.2021.3096930&partnerID=40&md5=e9a58f455cfee229d9594a113955db30
http://eprints.utp.edu.my/29497/
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spelling utp-eprints.294972022-03-25T02:07:52Z State-of-the-Art Review on the Acoustic Emission Source Localization Techniques Hassan, F. Mahmood, A.K.B. Yahya, N. Saboor, A. Abbas, M.Z. Khan, Z. Rimsan, M. he acoustic emission technique has been applied successfully for the identification, characterization, and localization of deformations in civil engineering structures. Numerous localization techniques, such as Modal Acoustic Emission, Neural Networks, Beamforming, and Triangulation methods with or without prior knowledge of wave velocity, have been presented. Several authors have conducted in-depth research in the localization of AE sources. However, existing review papers do not focus on the performance evaluation of existing source localization techniques. This paper discusses these techniques based on the number of sensors used and the geometry of the structures of interest. Furthermore, it evaluates them on the basis of their performance. At the end of this paper, a comparative analysis of existing methods has been presented based on their basic principles, key strengths, and limitations. A deep learning circular sensor cluster-based solution has the potential to provide a low-cost reliable localization solution for acoustic emission sources. © 2013 IEEE. Institute of Electrical and Electronics Engineers Inc. 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110813615&doi=10.1109%2fACCESS.2021.3096930&partnerID=40&md5=e9a58f455cfee229d9594a113955db30 Hassan, F. and Mahmood, A.K.B. and Yahya, N. and Saboor, A. and Abbas, M.Z. and Khan, Z. and Rimsan, M. (2021) State-of-the-Art Review on the Acoustic Emission Source Localization Techniques. IEEE Access, 9 . pp. 101246-101266. http://eprints.utp.edu.my/29497/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description he acoustic emission technique has been applied successfully for the identification, characterization, and localization of deformations in civil engineering structures. Numerous localization techniques, such as Modal Acoustic Emission, Neural Networks, Beamforming, and Triangulation methods with or without prior knowledge of wave velocity, have been presented. Several authors have conducted in-depth research in the localization of AE sources. However, existing review papers do not focus on the performance evaluation of existing source localization techniques. This paper discusses these techniques based on the number of sensors used and the geometry of the structures of interest. Furthermore, it evaluates them on the basis of their performance. At the end of this paper, a comparative analysis of existing methods has been presented based on their basic principles, key strengths, and limitations. A deep learning circular sensor cluster-based solution has the potential to provide a low-cost reliable localization solution for acoustic emission sources. © 2013 IEEE.
format Article
author Hassan, F.
Mahmood, A.K.B.
Yahya, N.
Saboor, A.
Abbas, M.Z.
Khan, Z.
Rimsan, M.
spellingShingle Hassan, F.
Mahmood, A.K.B.
Yahya, N.
Saboor, A.
Abbas, M.Z.
Khan, Z.
Rimsan, M.
State-of-the-Art Review on the Acoustic Emission Source Localization Techniques
author_sort Hassan, F.
title State-of-the-Art Review on the Acoustic Emission Source Localization Techniques
title_short State-of-the-Art Review on the Acoustic Emission Source Localization Techniques
title_full State-of-the-Art Review on the Acoustic Emission Source Localization Techniques
title_fullStr State-of-the-Art Review on the Acoustic Emission Source Localization Techniques
title_full_unstemmed State-of-the-Art Review on the Acoustic Emission Source Localization Techniques
title_sort state-of-the-art review on the acoustic emission source localization techniques
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110813615&doi=10.1109%2fACCESS.2021.3096930&partnerID=40&md5=e9a58f455cfee229d9594a113955db30
http://eprints.utp.edu.my/29497/
_version_ 1741197251172106240
score 11.62408

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