Information-divergence based methods for acoustic micro-defect identification in materials
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F11%3A00329602" target="_blank" >RIV/68407700:21340/11:00329602 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21340/11:00187626
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Information-divergence based methods for acoustic micro-defect identification in materials
Original language description
We deal with the diversity of acoustic emission sources in materials through signal processing methodology for the data sets detected by the measurement device Dakel Xedo 5. Applying the following methods of Fuzzy Clustering (FC), Model-Based Clustering (MBC) and Support Vector Machines (SVM) in combination with empirical nonstandard signal and spectrum attributes, we arrive to the efficient source separation technique. These methods belong to fundamentally different groups. The FC is based on the optimization of an objective function. The MBC consists of two parts - the Agglomerat.ive Clustering and the iterative EM algorithm [1] minimizing likelihood function of the statistical model under consideration. Finally, the SVM [2] searches for optimal separating liyperplanes between clusters. The signals are compared by means of suitable parameters obtained directly from detected signals or their normalized spectral density estimates. We also use distinctive (Φ-divergence dista nee measures [3] between signal spectra as the additional attribute for the signal cluster separation. The structure of Φ-divergeuce parameter is given in discrete form by DΦ(S̃ refer, S̃)= ∑ T-1 f=0 S̃(f)Φ (S̃ refer(f)/ S̃(f)), where S̃ refer is a normed reference spectrum from the number m of samples of a given signal type and S̃ stands for the normalized spectrum of individual signals.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Forum Acusticum 2011
ISBN
978-84-694-1520-7
ISSN
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e-ISSN
2221-3767
Number of pages
6
Pages from-to
991-996
Publisher name
European Acoustics Association
Place of publication
Madrid
Event location
AALBORG
Event date
Jun 26, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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