The article presents the results of loading steel samples with stress concentrators under various types of loading. This work is devoted to the study of the dynamics of changes in the cross-correlation coefficient of signals and the frequency of the distribution of signals from one source over amplitudes, which will increase the reliability of the search and identification of defects. The purpose of the work is to find empirical dependencies that characterize the relationship between the parameters of a defect and the characteristics of acoustic emission, which will contribute to an increase the reliability in determining the degree in danger of a defect. The tests were carried out using an acoustic emission system and acoustic emission transducers. Additional control by other methods of non-destructive testing was carried out to confirm the found defects, determine their type and size. The dynamics of changes in the cross-correlation coefficient of signals and the frequency of the distribution of signals from one source over amplitudes are studied. The correlation coefficient and amplitude distribution of signals identify some types of sources in the results, such as cracks, among acoustic emission signals from other sources. In addition, the parameters in acoustic emission of various types of sources, conditionally divided from the point of view of source coordinates into local and distributed ones, were investigated. The distribution laws of acoustic emission signals by amplitudes for different types of sources are determined. Also, the results can be used to restore the flow parameters of a discrete acoustic emission.


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    Titel :

    Analysis of Criteria for Identification of Defects by Acoustic Emission Method


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Manakov, Aleksey (Herausgeber:in) / Edigarian, Arkadii (Herausgeber:in) / Kuten, Maria (Autor:in) / Bobrov, Alexey (Autor:in)

    Kongress:

    International Scientific Siberian Transport Forum ; 2021 May 11, 2021 - May 14, 2021



    Erscheinungsdatum :

    2022-03-19


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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