| Issue |
E3S Web Conf.
Volume 288, 2021
International Symposium “Sustainable Energy and Power Engineering 2021” (SUSE-2021)
|
|
|---|---|---|
| Article Number | 01034 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/e3sconf/202128801034 | |
| Published online | 14 July 2021 | |
Ensuring timely repair of power transformers based on data of complex diagnostics
National Research University “MPEI”, Power Engineering Department, 404110 Volzhsky, Russia
* Corresponding author: opp77@bk.ru
Timely diagnosis of power transformers is an essential component of ensuring reliable and safe operation of power stations and substations, on which the reliability of the power system depends. Detection of defects in the initial stage allows to maintain reliable operation of transformers, helps to define the "life cycle" and simplify the planning of their replacement. The paper presents an analysis of existing approaches to the creation of power equipment diagnostics systems using the example of power transformers. A neural network model has been developed, demonstrating the possibility of using power transformers to estimate the current residual resource based on the analysis of available diagnostic data.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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