Number of the records: 1  

Time reversal based news methods for localization and classification of nonlinear vibrations in bio-mechanical media

  1. 1.
    SYSNO ASEP0423164
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleTime reversal based news methods for localization and classification of nonlinear vibrations in bio-mechanical media
    Author(s) Dos Santos, S. (FR)
    Farová, Zuzana (UT-L) RID
    Kůs, V. (CZ)
    Převorovský, Zdeněk (UT-L) RID
    Source Title20th International Congress on Sound & Vibration : ICSV 20. - Bangkok : International Institute of Acoustics and Vibration, 2013 / Crocker M.J. ; Pawelczyk M. - ISSN 2329-3675 - ISBN 978-616-551-682-2
    Pagess. 1-8
    Number of pages8 s.
    Publication formPrint - P
    ActionInternational Congress on Sound & Vibration /20./
    Event date07.07.2013-11.07.2013
    VEvent locationBangkok
    CountryTH - Thailand
    Event typeWRD
    Languageeng - English
    CountryTH - Thailand
    Keywordstime reversal ; statistical classification ; chirp excitation
    Subject RIVBB - Applied Statistics, Operational Research
    Institutional supportUT-L - RVO:61388998
    AnnotationNon Destructive Testing (NDT) and harmonic medical imaging methods have been widely developed thanks to the use of the symbiosis of Time Reversal (TR) based signal processing tools and Nonlinear Elastic Wave Spectroscopy (NEWS) methods. Statistical methods for classification, identification and localization were developed in order to detect, localize and calibrate nonlinear scatterers responsible of the structural degradation of materials. The classification of nonlinear vibrations is performed by means of a fuzzy classification method, in which parameters are extracted from the ultrasonic response containing acoustic nonlinearities. According to the classification results, several types of nonlinearities extracted with Pulse Inversion (PI) based methods are identified, and position of the scattered sources are found. The experimental feasibility of a focused TR-NEWS method has been improved with a set-up taking into account new advanced chirpcoded excitations, and new statistical classification.
    WorkplaceInstitute of Thermomechanics
    ContactMarie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823
    Year of Publishing2014
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.