Известия высших учебных заведений: Проблемы энергетики (Dec 2022)

Diagnosis of transformers of electrical complexes using non-contact laser vibrometers

  • M. F. Nizamiev,
  • V. R. Basenko,
  • I. V. Ivshin,
  • O. V. Vladimirov,
  • A. N. Khusnutdinov,
  • N. K. Andreev

DOI
https://doi.org/10.30724/1998-9903-2022-24-5-97-109
Journal volume & issue
Vol. 24, no. 5
pp. 97 – 109

Abstract

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TARGET. The purpose of this work is to improve the method of vibration control of the active part of a power transformer by fractal analysis of its vibration signal. Fractal analysis of the magnitude-time characteristics of the quantitative assessment of the degree of "jagged" vibration signal of the transformer. For a quantitative assessment, the coefficient of fractal analysis (FAC) was introduced based on the determination of the fractal dimension by the Hausdorff-Besikovich method. To test the developed method of application, a non-contact laser measuring diagnostic complex (MDC) with developed software based on LabVIEW, ImageJ and Python. Experimental studies of the technical condition of the transformer TSZ 16 were carried out on the basis of the developed method using a non-contact LCIK, the CFA of the windings and the magnetic circuit of a single transformer was determined, the level of technical condition for the impulse elements of the transformer was determined.METHODS. The vibration control method makes it possible to control a power transformer during its operation under voltage, which makes it possible to switch from a planned system of transformer repairs to a system for taking repairs according to the current technical condition.RESULTS. The improved method of vibration control was tested using the developed noncontact LCIK, the level of technical condition of the power transformer under voltage was determined.CONCLUSION. An improved method of vibration control makes it possible to determine the level of technical condition of an energized power transformer with the possibility of automatically obtaining a decision on the technical condition, as well as to use statistical methods for processing and analyzing signals received from the transformer.

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