Mathematical model of recovery of the reduced magnetic moment of a point dipole for identification of ferromagnetic objects

Authors

DOI:

https://doi.org/10.15588/1607-6761-2026-1-4

Keywords:

magnetic dipole, inverse magnetometry problem, reduced magnetic moment, integral field characteristic, numerical experiment, object identification

Abstract

Purpose of the work. The purpose of the work is to develop and study a mathematical model for restoring the reduced magnetic moment of a point dipole based on the integral characteristics of the magnetic field, which allows to ensure the correct solution of the inverse problem of magnetometry in conditions of limited a priori information and real noise interference.

Research methods. The work uses mathematical modeling, analytical methods of inverse magnetometry, integral transformations and a numerical experiment to assess the accuracy of restoring the magnetic moment components. To construct the calculated dependencies, the field discretization on a rectangular grid of measuring points and algorithms for minimizing the reconstruction error were used.

Results. A generalized model of the relationship between the measured components of magnetic induction and the components of the magnetic moment vector of the dipole was constructed. A mathematical algorithm for calculating the reduced moment based on the sums of the integral characteristics of the field in the coordinate directions was proposed. A study was conducted for different sizes of the measurement grid, which confirmed the efficiency of the method and showed that the reconstruction error decreases with an increase in the number of measurement points. The results obtained indicate the possibility of reliable identification of the object from a limited set of magnetic field data.

Scientific novelty.  A method for restoring the reduced magnetic moment is proposed, which is based not on local field values, but on integral characteristics, which provides increased noise resistance and reduces the influence of medium inhomogeneities. The effectiveness of using the discrete-integral approach in inverse magnetometry problems is shown.

Practical value. The developed model can be used in systems for detecting and classifying ferromagnetic objects in underwater, underground and terrestrial environments, in particular in tasks of non-destructive testing, technical diagnostics and search and rescue operations. The proposed approach allows the implementation of small-sized measuring systems with reduced requirements for the accuracy of sensor positioning.

Author Biographies

D.U. Shareyko, Admiral Makarov National University of Shipbuilding

candidate of technical sciences, associate professor, associate professor of the department of Automation, Admiral Makarov National University of Shipbuilding, Mykolaiv

I.S. Biliuk, Admiral Makarov National University of Shipbuilding

candidate of technical sciences, associate professor, associate professor of the department of automation, Admiral Makarov National University of Shipbuilding, Mykolaiv

O.V. Savchenko, Admiral Makarov National University of Shipbuilding

head of laboratories, department of automation, Admiral Makarov National University of Shipbuilding, Mykolaiv

V.А. Marziavko, Mykolaiv National Agrarian University

assistant professor, department of electric power, Electrical Engineering and Electromechanics, Mykolaiv National Agrarian University, Mykolaiv

A.M. Todosienko, Admiral Makarov National University of Shipbuilding

postgraduate student of the Department of Automation, Admiral Makarov National University of Shipbuilding, Mykolaiv

References

Zaporozhets, Y., Krol, V., & Shareiko, D. (1992). Mathematical model of detection and identification of underwater ferromagnetic objects. Electrical equipment of ships: Collection of scientific papers, (2), 82–89. Mykolaiv.

Primin, M., & Nedayvoda, I. (2023). Algorithms for the analytical solution of the magnetostatics inverse problem for the signal source of the dipole model. Cybernetics and Systems Analysis, 59(6), 821–831.

Primin, M. A., & Nedayvoda, I. V. (2015). Algorithm for the analytical solution of the inverse problem of magnetostatics for a dipole model field source. Com-puter Tools, Networks and Systems, (14), 5–15.

Zeigelman, M. S., & Panchenko, N. V. (2011). Inverse problem of magnetoprospecting: Features of the technology for searching multi-variant solutions. Theoretical and Applied Aspects of Geoinformatics, 158–169.

Bulah, E. G. (2019). Direct and inverse magnetometry problems for a set of horizontally located circular cy-lindrical bodies. Reports of the National Academy of Sciences of Ukraine, (5), 136–141.

Minenko, P. A. (2007). Extremal iterative methods in the inverse problem of magnetometry under oblique magnetization. Reports of the National Academy of Sciences of Ukraine, (5), 131–135.

Primin, M., & Nedajvoda, I. (2006). Algorithm for solving the inverse problem of magnetostatics in magnetocardiography: New approaches and results. Electronics and Modelling, (5), 99–116.

Minenko, P. A., & Minenko, R. V. (2016). On the search for selectively extremal solutions to the in-verse problem of magnetometry during studies on the crystalline foundation. Scientific Bulletin of the Na-tional Mining University, (9), 39–44.

Biliuk, I., et al. (2021). Expansion of measurement grid in field problems. In 2021 IEEE International Con-ference on Modern Electrical and Energy Systems (MEES) (pp. 1–5). Kremenchuk. IEEE.

Shareyko, D., et al. (2022). Reduction of numerical arrays in magnetometry problems calculations. In 2022 IEEE International Conference on Modern Electrical and Energy Systems (MEES) (pp. 1–5). Kremenchuk. IEEE.

Biliuk, I., et al. (2023). Machine calculation of the problem of expansion of the magnetic field meas-urement grid. In 2023 IEEE International Confer-ence on Modern Electrical and Energy Systems (MEES) (pp. 1–6). Kremenchuk. IEEE.

Published

2026-03-30

How to Cite

Shareyko, D., Biliuk, I., Savchenko, O., Marziavko, V., & Todosienko, A. (2026). Mathematical model of recovery of the reduced magnetic moment of a point dipole for identification of ferromagnetic objects. Electrical Engineering and Power Engineering, (1), 38–47. https://doi.org/10.15588/1607-6761-2026-1-4