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Features of the Application of the Principal Component Method to the Study of Acoustic Emission Signals Under Loading of Multilayer Structures

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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making (ISDMCI 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 149))

Abstract

From the standpoint of fundamental consideration of experimental data on the loading kinetics of multilayer continuums based on mechanical tests and acoustic emission measurements, large amounts of digital information on the parameters of AE signals during four-point bending of metal-based epoxy coatings have been processed and systematized. Features of the structure of the AE spectrum under load are reflected in the large size of the input data associated with the material’s response to external force action and the generation of different AE signals from media. The principal components method was used to analyze the acoustic emission spectra under loading of multilayer structures. The relationship between the kinetics of structural changes at various stages of deformation of materials and the components of the acoustic spectrum is revealed and quantitatively described. Visualization of acoustic emission signals in the time domain reveals a tendency to increase their impulsiveness. The processing of the experimental data using the principal component method made it possible to cluster the AE signals. The correspondence of clusters with the stages of strain hardening is established. The results obtained can be used in the AE study of the stages of loading processes and diagnostics of multilayer structures. The main characteristics of the impulsivity of AE signals under loading of continuous conjugated media are calculated. Recommendations are given on the use of specific components of the principal component method as indicators of the state of strain hardening of materials of multilayer structures.

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Authors and Affiliations

  1. Technical University of Liberec, Liberec, Czech Republic

    Petr Louda & Artem Sharko

  2. Kherson State Maritime Academy, Kherson, Ukraine

    Oleksandr Sharko

  3. Kherson National Technical University, Kherson, Ukraine

    Dmitry Stepanchikov

Authors
  1. Petr Louda
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  2. Oleksandr Sharko
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  3. Dmitry Stepanchikov
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  4. Artem Sharko
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Correspondence to Dmitry Stepanchikov .

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Editors and Affiliations

  1. Jan Evangelista Purkyně University in Ústi nad Labem, Ústi nad Labem, Czech Republic

    Sergii Babichev

  2. Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

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Louda, P., Sharko, O., Stepanchikov, D., Sharko, A. (2023). Features of the Application of the Principal Component Method to the Study of Acoustic Emission Signals Under Loading of Multilayer Structures. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. ISDMCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-031-16203-9_27

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