Application ofarrival time profiles to AE source location by neural networks

0333792 - ÚT 2010 RIV CZ eng A - Abstract
Chlada, Milan - Blaháček, Michal - Převorovský, Zdeněk
Application ofarrival time profiles to AE source location by neural networks.
NDT Welding Bulletin. Pavel Turek-Agentura Tiret. Roč. 19, č. 3 (2009), s. 13-13. ISSN 1213-3825.
[DEFEKTOSKOPIE 2009. 04.11.2009-06.11.2009, Praha]
R&D Projects: GA ČR GA106/07/1393; GA ČR GA101/07/1518
Institutional research plan: CEZ:AV0Z20760514
Keywords : acoustic emission * arrival time profiles * source localization * neural networks
Subject RIV: BI - Acoustics

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 several reasons. The main problems are in the collecting of sufficiently extensive training and testing data sets together with the non-portability of particular trained network to any other object. In recent time, a new ANN-based AE source location method using so-called signal arrival time profiles was proposed to overcome both limitations. The new way of signal arrival time characterization provides the ANN training on numerical models and allows the application of learned ANN on real structures of various scales and materials. In the paper, this new method is illustrated on experimental data obtained at complex aircraft structure part testing, and its remarkable advantages concerning the considerable extension of ANN application possibilities are discussed.
Permanent Link: http://hdl.handle.net/11104/0178699