Počet záznamů: 1
Neural network AE source location apart from structure size and material
- 1.
SYSNO ASEP 0349882 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Neural network AE source location apart from structure size and material Tvůrce(i) Chlada, Milan (UT-L) RID, ORCID
Převorovský, Zdeněk (UT-L) RID, ORCID
Blaháček, Michal (UT-L)Celkový počet autorů 3 Zdroj.dok. 29th Europen Conference on Acoustic Emission Testing. - Vienna : TÚV Austria, 2010 - ISBN 978-3-200-01956-0 Rozsah stran s. 1-8 Poč.str. 8 s. Forma vydání CD-ROM - CD-ROM Akce European Conference on Acoustic Emission Testing 2010 /29./ Datum konání 08.09.2010-10.09.2010 Místo konání Vídeň Země AT - Rakousko Typ akce EUR Jazyk dok. eng - angličtina Země vyd. AT - Rakousko Klíč. slova AE source location ; artificial neural networks ; arrival time profiles Vědní obor RIV BI - Akustika a kmity CEP FR-TI1/274 GA MPO - Ministerstvo průmyslu a obchodu GAP104/10/1430 GA ČR - Grantová agentura ČR CEZ AV0Z20760514 - UT-L (2005-2011) Anotace 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. Pracoviště Ústav termomechaniky Kontakt Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Rok sběru 2011
Počet záznamů: 1