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AE source location by neural networks with arrival time profiles
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SYSNO ASEP 0334346 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title AE source location by neural networks with arrival time profiles Title Lokalizace zdrojů akustické emise pomocí neuronových sítí na základě časových profilů Author(s) Chlada, Milan (UT-L) RID, ORCID
Blaháček, Michal (UT-L)
Převorovský, Zdeněk (UT-L) RIDSource Title NDT in PROGRESS. - Brno : University of Technology Brno, 2009 / Mazal P. - ISBN 978-80-214-3968-9 Pages s. 11-18 Number of pages 8 s. Action NDT in Progress /5./ Event date 12.10.2009-14.10.2009 VEvent location Praha Country CZ - Czech Republic Event type WRD Language eng - English Country CZ - Czech Republic Keywords acoustic emission ; source localization ; neural networks Subject RIV BI - Acoustics R&D Projects GA101/07/1518 GA ČR - Czech Science Foundation (CSF) GA106/07/1393 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z20760514 - UT-L (2005-2011) Annotation Correct localization of acoustic emission (AE) sources is a basic requirement in AE analysis and consequent evaluation of damage mechanism. The localization procedures using artificial neural networks (ANN) represent today highly effective, alternative approach to classical triangulation algorithms. Nevertheless, their application possibilities are limited due to problematic collecting of sufficiently extensive training and testing data sets together with the non-portability of particular trained network to any other object. A new ANN-based approach, using so-called signal arrival time profiles, is proposed to overcome both limitations. Such approach provides the ANN training on numerical models and allows the application of learned ANN on real structures of various scales and materials. This enables considerable extension of ANN application possibilities. New method is illustrated on experimental data obtained during pen-tests on a steel plate, and its remarkable advantages are discussed. Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2010
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