Localization of Acoustic Emission Sources by Means of Statistical Methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F03%3A00164596" target="_blank" >RIV/68407700:21340/03:00164596 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Localization of Acoustic Emission Sources by Means of Statistical Methods

Popis výsledku v původním jazyce

In this contribution we present and apply several statistical methods taken from the class of change point detection algorithms for given time series. Particularly, we consider CUSUM and chi^2 methods based on testing statistical hypotheses in the framework of autoregressive processes and further the method of singular spectral analysis (SSA). The SSA uses singular value decomposition of lag covariance matrix. Consequently, we consider retrospective Bayesian linear detector to obtain a posteriori probability density of the positions of abrupt changes in a given time series. The comparative analysis was produced in terms of the sample means and mean square errors (MSE) of the change point positions. Finally, the linear localization procedures were applied to the data originated from the laboratory tests on rail track and also to the real signals measured and sampled at the wing girder of a small aircraft.

Název v anglickém jazyce

Localization of Acoustic Emission Sources by Means of Statistical Methods

Popis výsledku anglicky

In this contribution we present and apply several statistical methods taken from the class of change point detection algorithms for given time series. Particularly, we consider CUSUM and chi^2 methods based on testing statistical hypotheses in the framework of autoregressive processes and further the method of singular spectral analysis (SSA). The SSA uses singular value decomposition of lag covariance matrix. Consequently, we consider retrospective Bayesian linear detector to obtain a posteriori probability density of the positions of abrupt changes in a given time series. The comparative analysis was produced in terms of the sample means and mean square errors (MSE) of the change point positions. Finally, the linear localization procedures were applied to the data originated from the laboratory tests on rail track and also to the real signals measured and sampled at the wing girder of a small aircraft.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2003

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

NDT in Progress 2003 Proceedings

ISBN

80-214-2475-3

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

Brno University of Technology

Místo vydání

Brno

Místo konání akce

Prague

Datum konání akce

6. 10. 2003

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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