{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T22:08:13Z","timestamp":1766182093325},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T00:00:00Z","timestamp":1683676800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T00:00:00Z","timestamp":1683676800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["EURASIP J. Adv. Signal Process."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>To solve problems related to much calculation to adapt to complex scenes in traditional structural sound source localization, this paper proposes a method based on neural network. The structural sound source at other positions was stimulated by successively striking 36 grid centers on the surface of the plate. The time delay between different accelerometer signals was considered as the input, and the location of the predicted sound source was considered as the output. The influence of the number of test sets and epoch training times on sound source localization accuracy was discussed. These results show that with the increase in the epoch training times, the number of test set decreases, and the number of training set increases, increasing the sound source localization accuracy of backpropagation neural network. However, these error conditions will frequently appear due to the overfitting phenomenon. When the epoch is trained to 50,000 times, and the quantity of the test set is 4, the backpropagation neural network has the best localization accuracy with an order of magnitude of 10<jats:sup>\u22123<\/jats:sup> in error, and the localization error scope of the plate is between 0.01 and 0.1\u00a0m.<\/jats:p>","DOI":"10.1186\/s13634-023-01017-y","type":"journal-article","created":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T10:06:53Z","timestamp":1683713213000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Research on structural sound source localization method by neural network"],"prefix":"10.1186","volume":"2023","author":[{"given":"Xiufeng","family":"Huang","sequence":"first","affiliation":[]},{"given":"Rongwu","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Wenjing","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Tao","family":"Peng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,5,10]]},"reference":[{"issue":"01","key":"1017_CR1","first-page":"178","volume":"41","author":"ZH Fan","year":"2020","unstructured":"Z.H. Fan, Y. Zhang, X.B. Rui, Research on space debris impact location of spacecraft bulkhead structure based on the acoustic emission technique. Chin. J. Sci. Instrum. 41(01), 178\u2013184 (2020)","journal-title":"Chin. J. Sci. Instrum."},{"issue":"02","key":"1017_CR2","first-page":"222","volume":"40","author":"JL Meng","year":"2020","unstructured":"J.L. Meng, R.Y. Chen, G.T. Huang, Researches on loose parts detection method with low signal noise ratio. J. Vib. Meas. Diagn. 40(02), 222\u2013229+414 (2020)","journal-title":"J. Vib. Meas. Diagn."},{"issue":"01","key":"1017_CR3","first-page":"49","volume":"44","author":"WJ Yu","year":"2019","unstructured":"W.J. Yu, L. He, L.L. Cui, Outboard abnormal noise source localization method with curved surface projection based on time delay matching and weighting criterion. Acta Acust. 44(01), 49\u201356 (2019)","journal-title":"Acta Acust."},{"issue":"04","key":"1017_CR4","first-page":"140","volume":"12","author":"RB Li","year":"2017","unstructured":"R.B. Li, R.W. Xu, L.L. Cui, Experimental research and application of abnormal noise source location of double-layer cylindrical shells. Chin. Ship Res. 12(04), 140\u2013146 (2017)","journal-title":"Chin. Ship Res."},{"issue":"19","key":"1017_CR5","first-page":"141","volume":"43","author":"SF Wei","year":"2021","unstructured":"S.F. Wei, D. Han, H.Y. Zhang, Underwater sound source location with matched field processing based on matrix Eigen decomposition. Ship Sci. Technol. 43(19), 141\u2013148 (2021)","journal-title":"Ship Sci. Technol."},{"issue":"323","key":"1017_CR6","doi-asserted-by":"publisher","first-page":"1274","DOI":"10.4028\/www.scientific.net\/KEM.321-323.1274","volume":"321","author":"JH Park","year":"2006","unstructured":"J.H. Park, An impact source localization for a plate in a noisy environment. Key Eng. Mater. 321(323), 1274\u20131279 (2006)","journal-title":"Key Eng. Mater."},{"issue":"08","key":"1017_CR7","first-page":"1211","volume":"31","author":"ZZ Luo","year":"2018","unstructured":"Z.Z. Luo, Z.H. Yan, W.D. Fu, Electroencephalogram artifact filtering method of single-channel EEG based on CEEMDAN-ICA. Chin. J. Sens. Actuat. 31(08), 1211\u20131216 (2018)","journal-title":"Chin. J. Sens. Actuat."},{"issue":"04","key":"1017_CR8","first-page":"750","volume":"33","author":"WH Li","year":"2012","unstructured":"W.H. Li, H.B. Tang, W.G. Gong, Time delay estimation method of abnormal sound source localization in public places. Chin. J. Sci. Instrum. 33(04), 750\u2013756 (2012)","journal-title":"Chin. J. Sci. Instrum."},{"issue":"01","key":"1017_CR9","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.ultras.2015.10.014","volume":"65","author":"GK Kocur","year":"2016","unstructured":"G.K. Kocur, E.H. Saenger, C.U. Grosse, Time reverse modeling of acoustic emissions in a reinforced concrete beam. Ultrasonics 65(01), 96\u2013104 (2016)","journal-title":"Ultrasonics"},{"issue":"01","key":"1017_CR10","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1111\/j.1365-246X.2007.03650.x","volume":"172","author":"SJ Gibbons","year":"2008","unstructured":"S.J. Gibbons, F. Ringdal, T. Kverna, Detection and characterization of seismic phases using continuous spectral estimation on incoherent and partially coherent arrays. Geophys. J. Int. 172(01), 405\u2013421 (2008)","journal-title":"Geophys. J. Int."},{"issue":"08","key":"1017_CR11","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1016\/j.measurement.2019.01.096","volume":"137","author":"RB Marxim","year":"2019","unstructured":"R.B. Marxim, A.R. Mohanty, Time delay estimation in reverberant and low SNR environment by EMD based maximum likelihood method. Measurement 137(08), 655\u2013663 (2019)","journal-title":"Measurement"},{"issue":"11","key":"1017_CR12","doi-asserted-by":"publisher","first-page":"232","DOI":"10.3901\/JME.2009.12.232","volume":"45","author":"JX Yang","year":"2009","unstructured":"J.X. Yang, H.W. Zheng, Y.L. Cao, Estimation method for impact location of loose parts based on Hilbert transform. J. Mech. Eng. 45(11), 232\u2013236 (2009)","journal-title":"J. Mech. Eng."},{"issue":"03","key":"1017_CR13","first-page":"1087","volume":"06","author":"TT Ji","year":"2014","unstructured":"T.T. Ji, L.X. Fang, F. Zeng, Hilbert envelope loose part location method based on continuous wavelet transform. Atomic Energy Sci. Technol. 06(03), 1087\u20131095 (2014)","journal-title":"Atomic Energy Sci. Technol."},{"issue":"06","key":"1017_CR14","doi-asserted-by":"publisher","first-page":"1395","DOI":"10.1109\/TGRS.2002.800438","volume":"40","author":"CD Saragiotis","year":"2002","unstructured":"C.D. Saragiotis, PAI-S\/K: a robust automatic seismic P phase arrival identification scheme. IEEE Trans. Geosci. Remote Sens. 40(06), 1395\u20131404 (2002)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"01","key":"1017_CR15","doi-asserted-by":"publisher","first-page":"115861","DOI":"10.1016\/j.jsv.2020.115861","volume":"494","author":"S Gollob","year":"2021","unstructured":"S. Gollob, G.K. Kocur, Analysis of the wave propagation paths in numerical reinforced concrete models. J. Sound Vib. 494(01), 115861 (2021)","journal-title":"J. Sound Vib."},{"issue":"13","key":"1017_CR16","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1016\/j.ymssp.2018.09.019","volume":"120","author":"P Chiariotti","year":"2019","unstructured":"P. Chiariotti, M. Martarelli, P. Castellini, Acoustic beamforming for noise source localization\u2014reviews, methodology and applications. Mech. Syst. Signal Process. 120(13), 422\u2013448 (2019)","journal-title":"Mech. Syst. Signal Process."},{"issue":"01","key":"1017_CR17","doi-asserted-by":"publisher","first-page":"7472","DOI":"10.1038\/s41598-017-07371-w","volume":"07","author":"ZL Zhou","year":"2017","unstructured":"Z.L. Zhou, J. Zhou, L.J. Dong, Experimental study on the location of an acoustic emission source considering refraction in different media. Sci. Rep. 07(01), 7472 (2017)","journal-title":"Sci. Rep."},{"issue":"03","key":"1017_CR18","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1115\/1.4042818","volume":"141","author":"CX Bi","year":"2019","unstructured":"C.X. Bi, Y.C. Li, Y.B. Zhang, Analytical passive time reversal method combined with equivalent source method for sound source localization in an enclosure. J. Vib. Acoust. 141(03), 21\u201324 (2019)","journal-title":"J. Vib. Acoust."},{"issue":"09","key":"1017_CR19","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.conbuildmat.2016.10.104","volume":"129","author":"E Tsangouri","year":"2016","unstructured":"E. Tsangouri, G. Karaiskos, A. Deraemaeker, Assessment of acoustic emission localization accuracy on damaged and healed concrete. Constr. Build. Mater. 129(09), 163\u2013171 (2016)","journal-title":"Constr. Build. Mater."},{"issue":"12","key":"1017_CR20","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.ultras.2016.09.024","volume":"74","author":"S Gollob","year":"2017","unstructured":"S. Gollob, G.K. Kocur, A novel multi-segment path analysis based on a heterogeneous velocity model for the localization of acoustic emission sources in complex propagation media. Ultrasonics 74(12), 48\u201361 (2017)","journal-title":"Ultrasonics"},{"issue":"4","key":"1017_CR21","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1016\/0045-7949(92)90132-J","volume":"42","author":"X Wu","year":"1992","unstructured":"X. Wu, J. Ghabousisi, J.H. Garret, Use of neural networks in prediction of structural damage. Comput. Struct. 42(4), 649\u2013659 (1992)","journal-title":"Comput. Struct."},{"key":"1017_CR22","doi-asserted-by":"crossref","unstructured":"Povich CR, Lim TW (1994) An artificial neural network approach to structural damage detection using frequency response functions. In: Proceedings of the 1994 AIAA\/ASME Adaptive Structures Forum, pp. 151\u2013159","DOI":"10.2514\/6.1994-1751"},{"key":"1017_CR23","doi-asserted-by":"publisher","first-page":"100789","DOI":"10.1016\/j.paerosci.2021.100789","volume":"129","author":"ND Boffa","year":"2022","unstructured":"N.D. Boffa, M. Arena, E. Monaco, About the combination of high and low frequency methods for impact detection on aerospace components. Prog. Aerosp. Sci. 129, 100789 (2022)","journal-title":"Prog. Aerosp. Sci."},{"key":"1017_CR24","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1111\/j.1475-1305.2000.tb01175.x","volume":"36","author":"K Worden","year":"2000","unstructured":"K. Worden, W.J. Staszewski, Impact location and quantification on a composite panel using neural networks and a genetic algorithm. Strain 36, 61\u201368 (2000)","journal-title":"Strain"},{"issue":"04","key":"1017_CR25","first-page":"36","volume":"20","author":"LL She","year":"2021","unstructured":"L.L. She, H. Sun, Y.T. Zhao, Sound source localization based on BP neural network. Softw Guide 20(04), 36\u201342 (2021)","journal-title":"Softw Guide"},{"issue":"07","key":"1017_CR26","first-page":"106","volume":"39","author":"GH Ma","year":"2021","unstructured":"G.H. Ma, C.L. Niu, Y. Wang, Research on sound source localization algorithm based on neural network. Digit Technol Appl 39(07), 106\u2013109 (2021)","journal-title":"Digit Technol Appl"},{"key":"1017_CR27","first-page":"45","volume-title":"Research on Sound Source Localization Method Based on Generalized Cross-correlation and Convolutional Neural Network","author":"BW Sheng","year":"2020","unstructured":"B.W. Sheng, Research on Sound Source Localization Method Based on Generalized Cross-correlation and Convolutional Neural Network (Shandong University, Jinan, 2020), pp.45\u201361"}],"container-title":["EURASIP Journal on Advances in Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13634-023-01017-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13634-023-01017-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13634-023-01017-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T10:14:07Z","timestamp":1683713647000},"score":1,"resource":{"primary":{"URL":"https:\/\/asp-eurasipjournals.springeropen.com\/articles\/10.1186\/s13634-023-01017-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,10]]},"references-count":27,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["1017"],"URL":"https:\/\/doi.org\/10.1186\/s13634-023-01017-y","relation":{},"ISSN":["1687-6180"],"issn-type":[{"value":"1687-6180","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,10]]},"assertion":[{"value":"18 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 May 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"54"}}