Testing of 2-D signal separation statistical techniques for real and generated physical data sets

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F12%3A00199567" target="_blank" >RIV/68407700:21340/12:00199567 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Testing of 2-D signal separation statistical techniques for real and generated physical data sets

Original language description

We deal with various classification methods in data sets originated from different physical experiments. It can be the case of accelerated particles data in proton-antiproton collisions (Fermilab) or applications of acoustic emission detection in nondestructive testing. The acoustic emission emerges due to the cracks, fatigues or possibly other nonlinear material effects. Signals of the acoustic emission may differ by types of materials and through these differences the signals can be assigned to material which they originate from. The classification of signals of acoustic emission can be done by means of different classification methods, in our case by means of Model-Based Clustering method (MBC). In this work we also test the suitability of chosen parameters which were used for identification of acoustic emission sources [1, 2]. The method is also successfully applied to real experimental data.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

<a href="/en/project/LG12020" target="_blank" >LG12020: Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2012

Confidentiality

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

Name of the periodical

Forum Statisticum Slovacum

ISSN

1336-7420

e-ISSN

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Volume of the periodical

8

Issue of the periodical within the volume

7

Country of publishing house

SK - SLOVAKIA

Number of pages

6

Pages from-to

67-72

UT code for WoS article

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EID of the result in the Scopus database

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