Number of the records: 1
Neural network AE source location apart from structure size and material
- 1.
SYSNO ASEP 0363592 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články 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 Journal of Acoustic Emission - ISSN 0730-0050
Roč. 28, - (2010), s. 99-107Number of pages 9 s. 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 US - United States Keywords AE source location ; artificial neural network ; arrival time profiles Subject RIV BI - Acoustics R&D Projects GAP104/10/1430 GA ČR - Czech Science Foundation (CSF) FR-TI1/274 GA MPO - Ministry of Industry and Trade (MPO) 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 (i.e. without any experimental errors) 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 2012 Electronic address http://www.ndt.net/search/abstract.php3?AbsID=10828
Number of the records: 1