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Statements

Subject Item
n2:RIV%2F61388998%3A_____%2F14%3A00438589%21RIV15-MPO-61388998
rdf:type
n5:Vysledek skos:Concept
dcterms:description
Acoustic Emission (AE) analyzers for the purpose of structural health or condition monitoring should provide longtime continuous signal records with relatively high sampling frequency. Recorded huge data must be analyzed to disclose any faults in monitored processes or structures like e.g. leakages in pressure vessels or defects in rotating machines and gearboxes, etc. Fast and reliable AE signal processing and analyzing methods are required. In this paper we present such analysis of continuous AE recorded during tests of renovated helicopter gearboxes. Four-channel continuous AE recording system with 4 MHz sampling rate was used in the tests performed under variable 'flight' simulation regimes. As an alternative to classical spectrogram analysis, we proposed to use histograms of time intervals between crossings of threshold amplitudes (multilevel counting) in the wavelet decomposition details. Results obtained on long-time records are discussed. Acoustic Emission (AE) analyzers for the purpose of structural health or condition monitoring should provide longtime continuous signal records with relatively high sampling frequency. Recorded huge data must be analyzed to disclose any faults in monitored processes or structures like e.g. leakages in pressure vessels or defects in rotating machines and gearboxes, etc. Fast and reliable AE signal processing and analyzing methods are required. In this paper we present such analysis of continuous AE recorded during tests of renovated helicopter gearboxes. Four-channel continuous AE recording system with 4 MHz sampling rate was used in the tests performed under variable 'flight' simulation regimes. As an alternative to classical spectrogram analysis, we proposed to use histograms of time intervals between crossings of threshold amplitudes (multilevel counting) in the wavelet decomposition details. Results obtained on long-time records are discussed.
dcterms:title
Multilevel analysis of continuous AE from helicopter gearbox Multilevel analysis of continuous AE from helicopter gearbox
skos:prefLabel
Multilevel analysis of continuous AE from helicopter gearbox Multilevel analysis of continuous AE from helicopter gearbox
skos:notation
RIV/61388998:_____/14:00438589!RIV15-MPO-61388998
n3:aktivita
n11:P n11:I
n3:aktivity
I, P(FR-TI3/755)
n3:dodaniDat
n15:2015
n3:domaciTvurceVysledku
n14:2650290 n14:6309011 n14:8402469 n14:3302849
n3:druhVysledku
n8:O
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
31028
n3:idVysledku
RIV/61388998:_____/14:00438589
n3:jazykVysledku
n13:eng
n3:klicovaSlova
structural health monitoring (SHM); signal processing; acoustic emission (AE); diagnostics of helicopter gearbox; wavelet analysis; continuous acoustic emission
n3:klicoveSlovo
n6:acoustic%20emission%20%28AE%29 n6:signal%20processing n6:continuous%20acoustic%20emission n6:diagnostics%20of%20helicopter%20gearbox n6:structural%20health%20monitoring%20%28SHM%29 n6:wavelet%20analysis
n3:kontrolniKodProRIV
[BE9A76D6370D]
n3:obor
n9:JU
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n10:FR-TI3%2F755
n3:rokUplatneniVysledku
n15:2014
n3:tvurceVysledku
Heřmánek, Jan Krofta, Josef Převorovský, Zdeněk Chlada, Milan