About: Neural network AE source location apart from structure size and material

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.ndt.net/search/abstract.php3?AbsID=10828
Description	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. 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. (en)
Title	Neural network AE source location apart from structure size and material Neural network AE source location apart from structure size and material (en)
skos:prefLabel	Neural network AE source location apart from structure size and material Neural network AE source location apart from structure size and material (en)
skos:notation	RIV/61388998:_____/10:00363592!RIV12-AV0-61388998
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(FR-TI1/274), P(GAP104/10/1430), Z(AV0Z20760514)
http://linked.open...iv/cisloPeriodika	-
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Blaháček, Michal Chlada, Milan Převorovský, Zdeněk
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav termomechaniky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	274500
http://linked.open...ai/riv/idVysledku	RIV/61388998:_____/10:00363592
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	AE source location; artificial neural network; arrival time profiles (en)
http://linked.open.../riv/klicoveSlovo	artificial neural network arrival time profiles AE source location
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[459451F382BD]
http://linked.open...i/riv/nazevZdroje	Journal of Acoustic Emission
http://linked.open...in/vavai/riv/obor	BI
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	*Evaluation of SHM methods and its integration into aircraft maintenance system Damage Monitoring of Building Structure Components by Nonlinear Ultrasonic Spectroscopy
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	28
http://linked.open...iv/tvurceVysledku	Převorovský, Zdeněk Chlada, Milan Blaháček, Michal
http://linked.open...n/vavai/riv/zamer	Complex dynamical systems in thermodynamics, fluid and solid mechanics
issn	0730-0050
number of pages	9 (xsd:int)

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