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Surrogate synthesis of excitation systems for frame tangential eddy current probes

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Existing scientific studies devoted to the design of eddy-current probes with a priori given configuration of the electromagnetic excitation field, which provide a uniform eddy current density distribution, consider a wide class of such, but are limited to the case when the probe is stationary relative to the testing object. Therefore, the actual problem is the synthesis of moving tangential eddy current probes with a frame excitation system that provides a uniform eddy current density distribution in the testing object, the solution of which is proposed in this study. A mathematical method for nonlinear surrogate synthesis of excitation systems for frame moving tangential surface eddy current probes, which implements a uniform eddy current density distribution of the testing zone object, is proposed. A metamodel of the volumetric structure of the excitation system of the frame tangential eddy current probe, applied in the process of surrogate optimal parametric synthesis, has been created. The examples of nonlinear synthesis of excitation systems using modern metaheuristic stochastic algorithms for finding the global extremum are considered. The numerical results of the obtained solutions of the problems are presented. The efficiency of the synthesized structures of excitation systems in comparison with classical analogs is shown on the graphs of the eddy current density distribution on the object surface in the testing zone.
Rocznik
Strony
743--757
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Bibliografia
  • [1] Repelianto A. S., Development of uniform eddy current probes using multi excitation coils, Doctoral Dissertation, Graduate School of Environment and Information Sciences, Yokohama National University (2020).
  • [2] Halchenko V. Y., Trembovetskaya R. V., Tychkov V. V., Surface eddy current probes: excitation systems of the optimal electromagnetic field (review), Devices and Methods of Measurements, vol. 11, no. 2, pp. 91–104 (2020), DOI: 10.21122/2220-9506-2020-11-2-91-104.
  • [3] Huang L., Zou J., Zhang J., Zhou Y., Deng F., A novel rectangular vertical probe with a conductive shell for eddy current testing, International Journal of Applied Electromagnetics and Mechanics, vol. 62, no. 1, pp. 191–205 (2019), DOI: 10.3233/JAE-190058.
  • [4] Halchenko V. Y., Trembovetskaya R. V., Tychkov V. V., Linear synthesis of non-axial surface eddy current probes, International Journal “NDT Days”, vol. 2, no. 3, pp. 259–268 (2019).
  • [5] Trembovetska R. V., Halchenko V. Y., Tychkov V. V., Storchak A. V., Linear synthesis of uniform anaxial eddy current probes with a volumetric structure of the excitation system, International Journal “NDT Days”, vol. 3, no. 4. pp. 184–190 (2020).
  • [6] Trembovetska R. V., Halchenko V. Y., Tychkov V. V., Bazilo C. V., Linear synthesis of frame eddy current probes with a planar excitation system, International Scientific Journal “Mathematical Modeling”, vol. 4, no. 3. pp. 86–90 (2020).
  • [7] Itaya T., Ishida K., Kubota Y., Tanaka A., Takehira N., Visualization of eddy current distributions for arbitrarily shaped coils parallel to a moving conductor slab, Progress in Electromagnetics Research M, vol. 47, pp. 1–12 (2016), DOI: 10.2528/pierm16011204.
  • [8] Itaya T., Ishida K., Tanaka A., Takehira N., Miki T., A new analytical method for calculation of eddy current distribution and its application to a system of conductor-slab and rectangular coil, Progress in Electromagnetics Research Symposium, pp. 135–139 (2011).
  • [9] Halchenko V.Y., Trembovetska R.V., Tychkov V.V., Storchak A.V., Nonlinear surrogate synthesis of the surface circular eddy current probes, Przegl ̨ad Elektrotechniczny, no. 9, pp. 76–82 (2019), DOI: 10.15199/48.2019.09.15.
  • [10] Halchenko V.Y., Trembovetska R.V., Tychkov V.V., Development of excitation structure RBF- metamodels of moving concentric eddy current probe, Electrical Engineering & Electromechanics, no. 2, pp. 28–38 (2019), DOI: 10.20998/2074-272X.2019.2.05.
  • [11] Trembovetska R. V., Halchenko V. Y., Tychkov V. V., Studying the computational resource demands of mathematical models for moving surface eddy current probes for synthesis problems, Eastern- European Journal of Enterprise Technologies, vol. 95, no. 5/5, pp. 39–46 (2018), DOI: 10.15587/1729-4061.2018.143309.
  • [12] Forrester A. I. J., Sóbester A., Keane A. J., Engineering design via surrogate modelling: a practical guide, Chichester, Wiley (2008).
  • [13] Koziel S., Echeverrı’a-Ciaurri D., Leifsson L., Surrogate-based methods, Computational Optimization, Methods and Algorithms, Berlin, Springer-Verlag, pp. 33–59 (2011), https://link.springer.com/chapter/ 10.1007/978-3-642-20859-1_3
  • [14] Simon Haykin, Neural networks: a complete course, Moscow, Williams Publ. House (2006).
  • [15] Géron A., Hands-on machine learning with scikit-learn, keras, and tensorflow, O’Reilly Media (2019).
  • [16] Halchenko V. Y., Trembovetska R. V., Tychkov V. V., Storchak A. V., Methods for creating metamodels: state of the question, Visnyk of Vinnytsia Politechnical Institute, vol. 151, no. 4, pp. 74–88 (2020), DOI: 10.31649/1997-9266-2020-151-4-74-88.
  • [17] Elsawah M., Constructing uniform experimental designs: in view of centered and wrap-around discrepancy, LAP LAMBERT Academic Publishing: (Theory of probability, stochastics, mathematical statistics) (2014).
  • [18] Halchenko V. Y., Trembovetska R. V., Tychkov V. V., Storchak A. V., The construction of effective multidimensional computer designs of experiments based on a quasi-random additive recursive Rd-sequence, Applied Computer Systems, vol. 25, no. 1, pp. 70–76 (2020), DOI: 10.2478/acss-2020-0009.
  • [19] Brink H., Richards J., Feverolph M., Machine learning, SPb, Peter (2017).
  • [20] Benchabira A., Khiat M., A hybrid method for the optimal reactive power dispatch and the control of voltages in an electrical energy network, Archives of Electrical Engineering, vol. 68, no. 3, pp. 535–551 (2019), DOI: 10.24425/aee.2019.129340.
  • [21] Kuznetsov B. I., Nikitina T. B., Bovdui I. V., Active shielding of magnetic field of overhead power line with phase conductors of triangle arrangement, Technical Electrodynamisc, no. 4, pp. 25–28 (2020), DOI: 10.15407/techned2020.04.025.
  • [22] Halchenko V. Y., Yakimov A. N., Ostapuschenko D. L., Global optimum search of functions with using of multiagent swarm optimization hybrid with evolutional composition formation of population, Information Technology, no. 10, pp. 9–16 (2010).
  • [23] Halchenko V. Y., Yakimov A. N., Ostapuschenko D. L., Method of Pareto-optimal parametric synthesis of axially symmetric magnetic systems taking into account the nonlinear magnetic properties of a ferromagnetic, Journal of Technical Physics, no. 7, pp. 1–7 (2012).
  • [24] Suresho V., Janiko P., Jasinskio M., Metaheuristic approach to optimal power flow using mixed integer distributed ant colony optimization, Archives of Electrical Engineering, vol. 69, no. 2, pp. 335–348 (2020), DOI: 10.24425/aee.2020.133029.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e4759072-4724-4f68-9f31-5ce15f37ac24
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