Statistical Methods in Signal Processing and Discrimination

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F10%3A00176093" target="_blank" >RIV/68407700:21340/10:00176093 - 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

Statistical Methods in Signal Processing and Discrimination

Popis výsledku v původním jazyce

We deal with the classification of acoustic emission signals by means of Fuzzy Clustering, Model-Based Clustering and Support Vector Machines. These methods belong to a different group of methods of classification. The signals are compared by means of suitable parameters obtained directly from the signals and from normed frequency spectra. We also use phi-divergence distance measure between the normed signal spectrums as the additional attribute for the distinguishing between different signals. We are concerned with above mentioned methods of clustering, their comparisons and the selection of efficient classification parameters. We realize three experiments in the area of acoustic emission to test the proposed classification methods by means of laboratory data and also considering industrial data from the real life.

Název v anglickém jazyce

Statistical Methods in Signal Processing and Discrimination

Popis výsledku anglicky

We deal with the classification of acoustic emission signals by means of Fuzzy Clustering, Model-Based Clustering and Support Vector Machines. These methods belong to a different group of methods of classification. The signals are compared by means of suitable parameters obtained directly from the signals and from normed frequency spectra. We also use phi-divergence distance measure between the normed signal spectrums as the additional attribute for the distinguishing between different signals. We are concerned with above mentioned methods of clustering, their comparisons and the selection of efficient classification parameters. We realize three experiments in the area of acoustic emission to test the proposed classification methods by means of laboratory data and also considering industrial data from the real life.

Druh

D - Stať ve sborníku

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

SPMS 2010 Stochastic and Physical Monitoring Systems

ISBN

978-80-01-04641-8

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

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Název nakladatele

ČVUT

Místo vydání

Praha

Místo konání akce

Děčín

Datum konání akce

27. 6. 2010

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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