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Statements

Subject Item
n2:RIV%2F61989100%3A27360%2F10%3A86075877%21RIV11-GA0-27360___
rdf:type
skos:Concept n9:Vysledek
dcterms:description
The developed approach for nondestructive diagnosis of solid objects is described in this article. This is accomplished by means of software analysis of oscillatory spectra (possibly acoustic emissions,) which is formed while running the monitored device or in unexpected situations. The principle of this method is based on the analysis of spectrum from received signal, its subsequent processing in MatLab and following sample comparison in Statistica program. The last step (comparison of samples) is the most important because it enables determination with some certainty the actual condition of the examined object. The processed samples are currently compared only visually. On the other hand, in applying this approach they are subject to the analysis with the assistance of neural network (Statistica program). The developed approach for nondestructive diagnosis of solid objects is described in this article. This is accomplished by means of software analysis of oscillatory spectra (possibly acoustic emissions,) which is formed while running the monitored device or in unexpected situations. The principle of this method is based on the analysis of spectrum from received signal, its subsequent processing in MatLab and following sample comparison in Statistica program. The last step (comparison of samples) is the most important because it enables determination with some certainty the actual condition of the examined object. The processed samples are currently compared only visually. On the other hand, in applying this approach they are subject to the analysis with the assistance of neural network (Statistica program).
dcterms:title
Detection of Internal Defects of Material on the Basis of Performance Spectral Density Analysis Detection of Internal Defects of Material on the Basis of Performance Spectral Density Analysis
skos:prefLabel
Detection of Internal Defects of Material on the Basis of Performance Spectral Density Analysis Detection of Internal Defects of Material on the Basis of Performance Spectral Density Analysis
skos:notation
RIV/61989100:27360/10:86075877!RIV11-GA0-27360___
n5:aktivita
n14:S n14:P
n5:aktivity
P(1M0567), P(GA102/08/1429), S
n5:cisloPeriodika
4
n5:dodaniDat
n6:2011
n5:domaciTvurceVysledku
n11:4659015
n5:druhVysledku
n15:J
n5:duvernostUdaju
n16:S
n5:entitaPredkladatele
n18:predkladatel
n5:idSjednocenehoVysledku
253644
n5:idVysledku
RIV/61989100:27360/10:86075877
n5:jazykVysledku
n13:eng
n5:klicovaSlova
Analysis; Density; Spectral; Performance; Basis; Material; Defects; Internal; Detection
n5:klicoveSlovo
n10:Material n10:Detection n10:Defects n10:Density n10:Internal n10:Basis n10:Performance n10:Analysis n10:Spectral
n5:kodStatuVydavatele
LT - Litevská republika
n5:kontrolniKodProRIV
[6F9F066AFB9D]
n5:nazevZdroje
JOURNAL OF VIBROENGINEERING
n5:obor
n17:JA
n5:pocetDomacichTvurcuVysledku
1
n5:pocetTvurcuVysledku
2
n5:projekt
n12:GA102%2F08%2F1429 n12:1M0567
n5:rokUplatneniVysledku
n6:2010
n5:svazekPeriodika
12
n5:tvurceVysledku
Frischer, Robert Krejcar, Ondřej
n5:wos
000286017700021
s:issn
1392-8716
s:numberOfPages
11
n7:organizacniJednotka
27360