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Author: Tychkov V.

  • MATHEMATICAL MODELLING OF TECHNOLOGICAL PROCESSES AND SYSTEMS

    Linear synthesis of frame eddy current probes with a planar excitation system

    • Trembovetska R.
    • Halchenko V.Ya.
    • Tychkov V.
    • Bazilo C.V.
    Mathematical Modeling, Vol. 4 (2020), Issue 3, pg(s) 86-90
    • Abstract
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    •  Article PDF

    A mathematical method of linear surrogate parametric synthesis of frame surface non-coaxial eddy current probes with a uniform eddy current density distribution in the testing object’s zone is proposed. The metamodel of a frame eddy current probe with a planar structure of the excitation system is constructed. Acceptable accuracy of the created metamodel is obtained by using the decomposition of the extremum search space and using associative neural networks. Examples of the synthesis of such excitation systems using modern metaheuristic stochastic algorithms for finding the global extremum are considered. The numerical results of the obtained solution and graphic illustrative material of the density distribution of the eddy currents on the surface in the testing object’s zone are given.

  • MATHEMATICAL MODELLING OF TECHNOLOGICAL PROCESSES AND SYSTEMS

    MULTIPARAMETER HYBRID NEURAL NETWORK METAMODEL OF EDDY CURRENT PROBES WITH VOLUMETRIC STRUCTURE OF EXCITATION SYSTEM

    • Trembovetska R.
    • Halchenko V.
    • Tychkov V.
    Mathematical Modeling, Vol. 3 (2019), Issue 4, pg(s) 113-116
    • Abstract
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    •  Article PDF

    A multiparameter metamodel of the eddy current probe with the volumetric excitation structure is constructed. As variable parameters of the metamodel, the spatial coordinates of the testing zone, the radii of the excitation coils and the height of their location above the testing object were used. Due to the use of hybrid construction of multiple neural networks using decomposition of the search space, an acceptable metamodel’s error of the eddy current probe with volumetric excitation structure is obtained.

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