Омский научный вестник (Jun 2022)

Algorithm for diagnosing insulation of power transformers by acoustic method in conditions of temperature changes

  • A. A. Kuznetsov,
  • V. V. Kharlamov,
  • M. A. Volchanina

DOI
https://doi.org/10.25206/1813-8225-2022-183-70-74
Journal volume & issue
Vol. 3 (183)
pp. 70 – 74

Abstract

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The article presents an algorithm for processing data by the acoustic method of insulation power transformers. The article presents data processing of diagnosing by the acoustic method of power transformers. A feature of the power supply system of railway transport is the location of traction substations along the railway track. For diagnosing power transformers advisable to use portable systems based on acoustic monitoring of partial discharges due to their high mobility and ease of installation. To improve the reliability of diagnosis under the conditions of seasonal temperature changes proposed use a defect simulator and a differential method for measuring the parameters of partial discharges. The scheme of the experiment and the diagnostic algorithm are proposed. Expressions are given that describe the properties of transformer oil with temperature changes, and changes in signal parameters during the propagation of acoustic waves. The data of diagnostics obtained on a power transformer at positive and negative temperatures under conditions of development of an insulation defect accompanied by partial discharges are presented.

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