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Neural network AE source location apart from structure size and material
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SYSNO ASEP 0349882 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Neural network AE source location apart from structure size and material Author(s) Chlada, Milan (UT-L) RID, ORCID
Převorovský, Zdeněk (UT-L) RID
Blaháček, Michal (UT-L)Number of authors 3 Source Title 29th Europen Conference on Acoustic Emission Testing. - Vienna : TÚV Austria, 2010 - ISBN 978-3-200-01956-0 Pages s. 1-8 Number of pages 8 s. Publication form CD-ROM - CD-ROM Action European Conference on Acoustic Emission Testing 2010 /29./ Event date 08.09.2010-10.09.2010 VEvent location Vídeň Country AT - Austria Event type EUR Language eng - English Country AT - Austria Keywords AE source location ; artificial neural networks ; arrival time profiles Subject RIV BI - Acoustics R&D Projects FR-TI1/274 GA MPO - Ministry of Industry and Trade (MPO) GAP104/10/1430 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z20760514 - UT-L (2005-2011) Annotation AE localization procedures using artificial neural networks (ANN) represent extremely effective alternative to classical triangulation methods. Nevertheless, their application always requires full-scale, time consuming ANN training on each specific structure. Disadvantage of particularly trained ANN algorithm is in its non-transferability to any other object. A new ANN-based AE source location approach is proposed in this paper to overcome such limitation. The method replaces standard arrival time differences at the ANN inputs by so called signal arrival time profiles, independent on material and scale changes. The ANN training can be also performed theoretically on geometrical models and learned ANN is then applied on real structures with different dimensions and materials. Such approach enables considerable extension of ANN application possibilities. The use of new AE source location method is illustrated on experimental data obtained during aircraft structure part testing. 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 2011
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