Surrogate methods for determining profiles of material properties of planar test objects with accumulation of apriori information about tchem

• Autorzy: Halchenko Volodymyr Y. , Trembovetska Ruslana , Tychkov Volodymyr , Tychkova Nataliia

Identyfikatory

DOI

10.24425/aee.2024.148864

• Języki publikacji: EN

Abstrakty

EN

New methods for identifying the material properties of planar objects as a result of measurements by the eddy current method are proposed. The methods are based on the latest surrogate strategies and advanced optimization techniques that improve efficiency and reduce resource consumption of problem solutions, and balance computational complexity with the accuracy of the results. High-performance metamodels for global surrogate optimization are based on deep truly meaningful fully connected neural networks, serving as an additional function of accumulating apriori information about objects. High accuracy of the approximation of the multidimensional response surface, which is determined by the “exact” electrodynamic model of the testing process, is ensured by performing calculations according to the computer design of a homogeneous experiment with a low weighted symmetric centered discrepancy. The results of numerical experiments performed for full and reduced dimensional search spaces, which can be obtained by linear transformations using the principal component method, are presented. The verification of the methods proved their sufficiently high accuracy and computational performance.

Słowa kluczowe

EN

apriori information; electrical conductivity; magnetic permeability profiles; neural network metamodel; structuroscopy; surface eddy current probe; surrogate optimization

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2024
• Tom: Vol. 73, nr 1
• Strony: 183--200
• Opis fizyczny: Bibliogr. 38 poz., rys., tab., wykr., wz.

Twórcy

autor

Halchenko Volodymyr Y.

• Instrumentation, Mechatronics and Computer Technologies Department, Cherkasy State Technological University, Blvd. Shevchenka, 460, 18006, Cherkasy, Ukraine

• https://orcid.org/0000-0003-0304-372X

autor

Trembovetska Ruslana

• Instrumentation, Mechatronics and Computer Technologies Department, Cherkasy State Technological University, Blvd. Shevchenka, 460, 18006, Cherkasy, Ukraine

• https://orcid.org/0000-0002-2308-6690

autor

Tychkov Volodymyr

• Instrumentation, Mechatronics and Computer Technologies Department, Cherkasy State Technological University, Blvd. Shevchenka, 460, 18006, Cherkasy, Ukraine

• https://orcid.org/0000-0001-9997-307X

autor

Tychkova Nataliia

• Instrumentation, Mechatronics and Computer Technologies Department, Cherkasy State Technological University, Blvd. Shevchenka, 460, 18006, Cherkasy, Ukraine

• https://orcid.org/0000-0001-5911-7535

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).