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Abstract

In this paper, we review innovative approaches to assess the technical condition of autotransformers using mathematical methods. The main purpose of these methods is to increase the efficiency of diagnostics and prevent possible failures in power systems. The developed mathematical expression is based on complex data analysis, application of statistical methods and machine learning technologies. This makes it possible to achieve more accurate and earlier detection of potential problems. As a result of these innovative approaches, the possibilities for early detection and prevention of faults are significantly increased. This is important for ensuring the smooth operation of power systems and preventing potential accidents. Thus, the use of mathematical methods in the assessment of the technical condition of autotransformers is an effective and promising direction of development. It allows to increase reliability and safety of power systems operation, as well as to reduce the risks of unforeseen failures

First Page

60

Last Page

65

References

  1. Shirokov, O.G.; Zalizny, D.I.; Los, D.M. Parametric identification of the mathematical model of the thermal processes of the power transformer (in Russian) // Vestnik. P.O. Sukhoi State Technical University. - 2005. - № 1. - С. 35-42.
  2. Problems of power transformers diagnostics / G. M. Mikheev [et al.]//Problems and prospects of development of power engineering, electrical engineering and energy efficiency: Proceedings of the III Intern. scientific-technical conf. Cheboksary: Izdvo Chuvashunct., 2019. С. 445 -451.
  3. A.A. Dimitriev, G. Mikheev. M., Power transformer diagnostics on the basis of fuzzy logic methods. Elektrooborudovanie: exploitation and repair No. 32022.
  4. A.A. Dimitriev, G. Mikheev. M., Power transformer diagnostics on the basis of fuzzy logic methods. Electrical Equipment: Operation and Repair No. 32022.
  5. Alekseev, B.A. Estimation of a condition of power transformers. Interpretation of the results of the gaschromatographic oil analysis // Elektro. - 2002. - №2. - С. 10-15.
  6. L.G. Sidelnikov, A. M. Sedunin, A. Y. Sykulev, TestService LLC Vibrodiagnostics and Partial Discharge Measurement in Power Transformer.
  7. Bashirov, Z.A.; Voloshanovsky, A.Yu.; Naumov, A.A. A. Sensor arrangement methods for the scalar vibration field estimation in the vibrodiagnostics tasks (in Russian) // Problems of Power Engineering. 2000. № 7-8. С. 86-90.
  8. Barkov A.V., Barkova N.A., Azovtsev A.Yu. Monitoring and diagnostics of rotor machines by vibration. Recommendations for users of diagnostic systems. Publishing house of SPbSMTU, St. Petersburg, 2000.
  9. Petrishchev L.S., Saltanov V.M., Osotov V.N. et al. Investigation of possibility of diagnostics of transformer winding pressing force by their vibration characteristics. - Electrical Stations 1995, N 8, p. 32-37.

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