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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

  • 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

  • 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