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Assessment of the Influencing Factors Significance in Non-destructive Testing Systems of Metals Mechanical Characteristics Based on the Bayesian Network

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 77))

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Abstract

The paper presents a model of assessment of the significance of the influencing factors to the accuracy of determining the resonant frequency of auto-circulation using the acoustic method of non-destructive testing. The hollow detail of the revolution was used as a controlled object during the simulation process. The following dimensional characteristics were investigated within the framework of the model the inner diameter of the top, the inner diameter of the foundation, the outer diameter, the height of the product, and the non-circularity of the outer diameter. The static Bayesian network was applied to evaluate the influence of the dimensional parameters on the output variable. It was shown that the accuracy of the resonant frequency measuring can be increased by reducing the tolerance for the inner and outer diameters of the investigated detail.

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Author information

Authors and Affiliations

  1. Department of Military Education and Science of the Ministry of Defence of Ukraine, Kyiv, Ukraine

    Volodymyr Mirnenko

  2. Military Diplomatic Academy named after Yevheniy Bereznyak, Kyiv, Ukraine

    Oleksandr Mishkov & Anatolii Balanda

  3. Ukrainian State Employment Service Training Institute, Kyiv, Ukraine

    Vasiliy Nadraga

  4. The National Defence University of Ukraine, Kyiv, Ukraine

    Oleksandr Hryhorenko

Authors
  1. Volodymyr Mirnenko
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  2. Oleksandr Mishkov
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  3. Anatolii Balanda
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  4. Vasiliy Nadraga
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  5. Oleksandr Hryhorenko
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Corresponding author

Correspondence to Oleksandr Mishkov .

Editor information

Editors and Affiliations

  1. Department of Physics, Kherson State University, Kherson, Ukraine

    Sergii Babichev

  2. Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

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Mirnenko, V., Mishkov, O., Balanda, A., Nadraga, V., Hryhorenko, O. (2022). Assessment of the Influencing Factors Significance in Non-destructive Testing Systems of Metals Mechanical Characteristics Based on the Bayesian Network. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_27

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