Development of 110-220 kV Power Transformer Model for Equipment Functional State Assessment System

Alexandra I. Khalyasmaa; Stepan A. Dmitriev; Sergey E. Kokin; Daniil A. Glushkov; Pavel Kuzin

doi:10.4028/www.scientific.net/AMR.960-961.1347

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 960-961Development of 110-220 kV Power Transformer Model...

Development of 110-220 kV Power Transformer Model for Equipment Functional State Assessment System

Abstract:

This paper addresses the problems, connected with implementation of 110-220 kV power transformer structural model for automated equipment functional state assessment system based on test and technical diagnostics data. This article describes the basic construction principles of hybrid neural network using Takagi-Sugeno fuzzy method. The paper also provides the statistical data analysis results for power transformers (of real energy grid part) to define fuzzy neural network criteria (layers).

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Periodical:

Advanced Materials Research (Volumes 960-961)

Pages:

1347-1351

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.960-961.1347

Citation:

Cite this paper

Online since:

June 2014

Authors:

Alexandra I. Khalyasmaa*, Stepan A. Dmitriev, Sergey E. Kokin, Daniil A. Glushkov, Pavel Kuzin

Keywords:

Diagnostics, Functional State, Hybrid Neural Networks, Power Transformer, Takagi-Sugeno Fuzzy Method, Test

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* - Corresponding Author

References

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