Влияние амплитуды акустических сигналов на вероятность выявления источников акустической эмиссии

Дмитрий [Dmitriy] Витальевич [V.] Чернов [Chernov]; Игорь [Igor] Евгеньевич [E.] Васильев [Vasil′ev]; Артем [Artem] Юрьевич [Yu.] Марченков [Marchenkov]; Татьяна [Tatyana] Юрьевна [Yu.] Ковалева [Kovaleva]; Екатерина [Ekaterina] Александровна [A.] Куликова [Kulikova]; Иван [Ivan] Владимирович [V.] Мищенко [Mishchenko]; Мария [Mariya] Викторовна [V.] Горячкина [Goryachkina]

doi:10.24160/1993-6982-2022-1-130-136

Дмитрий [Dmitriy] Витальевич [V.] Чернов [Chernov]
Игорь [Igor] Евгеньевич [E.] Васильев [Vasil′ev]
Артем [Artem] Юрьевич [Yu.] Марченков [Marchenkov]
Татьяна [Tatyana] Юрьевна [Yu.] Ковалева [Kovaleva]
Екатерина [Ekaterina] Александровна [A.] Куликова [Kulikova]
Иван [Ivan] Владимирович [V.] Мищенко [Mishchenko]
Мария [Mariya] Викторовна [V.] Горячкина [Goryachkina]

DOI: https://doi.org/10.24160/1993-6982-2022-1-130-136

Keywords: acoustic emission, linear location, acoustic emission source detection probability, reduced error

Abstract

The article discusses the results of using a standard algorithm for linearly locating the sources of acoustic emission signals generated by a broadband acoustic emission (AE) transducer mounted on the surface of a steel plate with sizes 1000×650×7 mm. To generate AE impulses with an amplitude of u_m = 55–100 dB, the electronic simulator’s difference of potentials was varied in the range of 10–300 V. As a result of laboratory experiments, the reduced error γ of the standard linear location algorithm was calculated. The maximum error equal to γ = 16.3% was recorded at the coordinate X = 100 mm in locating the source of acoustic signals with an amplitude of less than 60 dB and the antenna array basic size B = 800 mm. The minimum error equal to γ = 2.69% was recorded with the electronic simulator installed at the coordinate X = 400 mm. It is shown that the maximum error of the standard algorithm is observed in locating the sources of low-amplitude AE signals situated near the antenna array receiving transducers. The AE source detection probability as a function of recorded impulse amplitude is quantified. For determining the AE source detection probability p, the flow of recorded signals was divided into three amplitude ranges: 40–60 dB, 60–75 dB, and 75–100 dB. For the sources of acoustic signals with an amplitude of less than 60 dB and located at the coordinates X = 100, 200, 600, and 700 mm, the parameter p value tends to zero. It has been revealed in processing the experimental study results that the AE source detection probability increases with a growth in the maximum amplitude of the recorded signals. For AE impulses with an amplitude above 75 dB, the parameter p value approaches unity regardless of the source location. It has been determined that the error of the standard linear location algorithm depends on the distance between the AE source and the antenna array receiving transducers. The dependence p(X, u_m) has been demonstrated as a numerical assessment of the way in which the above-mentioned factors influence the obtained location picture results.

Information about authors

Дмитрий [Dmitriy] Витальевич [V.] Чернов [Chernov]

Ph.D. (Techn.), Research Associate of A.A. Blagonravov Institute of Machine Science of the Russian Academy of Sciences, e-mail: ChernovDmV@mpei.ru

Игорь [Igor] Евгеньевич [E.] Васильев [Vasil′ev]

Ph.D. (Techn.), Senior Researcher of A.A. Blagonravov Institute of Machine Science of the Russian Academy of Sciences, e-mail: via03@mail.ru

Артем [Artem] Юрьевич [Yu.] Марченков [Marchenkov]

Ph.D. (Techn.), Assistant Professor of Metal Technology Dept., NRU MPEI, e-mail: MarchenkovAY@mpei.ru

Татьяна [Tatyana] Юрьевна [Yu.] Ковалева [Kovaleva]

Ph.D. (Techn.), Assistant Professor of Computing Machines, Systems and Networks Dept., NRU MPEI, e-mail: KovalevaTY@mpei.ru

Екатерина [Ekaterina] Александровна [A.] Куликова [Kulikova]

Senior Lecturer Diagnostic Information Technologies Dept., NRU MPEI, e-mail: KulikovaYA@mpei.ru

Иван [Ivan] Владимирович [V.] Мищенко [Mishchenko]

Junior Researcher of A.A. Blagonravov Institute of Machine Science of the Russian Academy of Sciences, e-mail: MishchenkoIV@mpei.ru

Мария [Mariya] Викторовна [V.] Горячкина [Goryachkina]

Senior Lecturer of Metal Technology Dept., NRU MPEI, e-mail: GoriachkinaMV@mpei.ru

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Для цитирования: Чернов Д.В., Васильев И.Е., Марченков А.Ю., Ковалева Т.Ю., Куликова Е.А., Мищенко И.В., Горячкина М.В. Влияние амплитуды акустических сигналов на вероятность выявления источников акустической эмиссии // Вестник МЭИ. 2022. № 1. С. 130—136. DOI: 10.24160/1993-6982-2022-1-130-136.
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Работа выполнена при поддержке: Российского научного фонда (проект № 20-19-00769)
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3. Matvienko Y.G., Vasil’ev I.E., Chernov D.V., Pankov V.A. Acoustic-emission Monitoring of Airframe Failure under Cyclic Loading. Russian J. Nondestructive Testing. 2019;55;8:570—580.
4. Vasil'ev I.E., Matvienko Yu.G., Chernov D.V., Elizarov S.V. Monitoring Nakopleniya Povrezhdeniy v Kessone Stabilizatora Planera MS-21 s Primeneniem Akusticheskoy Emissii. Problemy Mashinostroeniya i Avtomatizatsii. 2020;2:118—141. (in Russian).
5. Al-Jumaili S.K., Pearson M.R., Holford K.M., Eaton M.J., Pullin R. Acoustic Emission Source Location in Complex Structures Using Full Automatic Delta T Mapping Technique. Mechanical Systems and Signal Proc. 2016;72:513—524.
6. Hensman J., Mills R., Pierce S.G., Worden K., Eaton M. Locating Acoustic Emission Sources in Complex Structures Using Gaussian Processes. Mechanical Systems and Signal Proc. 2010;24(1):211—223.
7. Kundu T. Acoustic Source Localization. Ultrasonics. 2014;54(1):25—38.
8. Kurz J. New Approaches for Automatic Three Dimensional Source Localization of Acoustic Emissions – Applications to Concrete Specimens. Ultrasonics. 2016;63:155—162.
9. Eaton M.J., Pullin R., Holford K.M. Acoustic Emission Source Location in Composite Materials Using Delta T Mapping. Composites Pt. A: Appl. Sci. and Manufacturing. 2012;43(6):856—863.
10. Gerasimov S.I., Sych T.V. Finite Element Modeling of Acoustic Emission Sensors. J. Physics: Conf. Series. 2017;881:012003.
11. Nosov V.V., Zelenskii N.A. Estimating the Strength of Welded Hull Elements of a Submersible Based on the Micromechanical Model of temporal Dependences of Acoustic-emission Parameters. Russian J. Nondestructive Testing. 2017;53;2:89—95.
12. Makhutov N.A., Vasil’iev I.E., Chernov D.V., Ivanov V.I., Elizarov S.V. Influence of the Passband of Frequency Filters on the Parameters of Acoustic Emission Pulses. Russian J. Nondestructive Testing. 2019;55;3:173—180.
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For citation: Chernov D.V., Vasil′ev I.E., Marchenkov A.Yu., Kovaleva T.Yu., Kulikova E.A., Mishchenko I.V., Goryachkina M.V. The Influence of Acoustic Signal Amplitude on the Acoustic Emission Source Detection Probability. Bulletin of MPEI. 2022;1:130—136. (in Russian). DOI: 10.24160/1993-6982-2022-1-130-136.
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The work is executed at support: Russian Science Foundation (Project No. 20-19-00769)