A Calculation Method of Transformer Insulation Paper Deterioration Failure Rate

Abstract

The invention relates to the field of power systems and automation thereof, in particular to a method for calculating the failure rate of transformer insulation paper degradation. Aiming at how to deal with the big data problems involving many types, large quantities, and complex interrelationships involved in the evaluation of transformer insulation paper degradation fault status, on the basis of establishing a large database, the principle of data clustering is used to process and analyze the big data; for transformer insulation paper degradation The random and fuzzy uncertain parameters involved in fault state evaluation are processed and analyzed by using the theory of probabilistic fuzzy sets. A method for calculating the failure rate of transformer insulation paper degradation proposed by the present invention can evaluate the failure state of transformer insulation paper degradation, which reflects the uncertainty of the characteristic value of the degradation fault state of transformer insulation paper, and provides a basis for the evaluation of the degradation fault state of transformer insulation paper Provide theoretical guidance and provide necessary technical support for distribution network operation and maintenance.

Description

technical field [0001] The invention relates to the field of power systems and automation thereof, in particular to a method for calculating the failure rate of transformer insulation paper degradation. Background technique [0002] There are a large number of transformers, and there will be different degrees of deterioration, deterioration, and defects, which are familial and concealed, and it is difficult to detect and evaluate them in time. Due to the great differences in the operating years, environment, maintenance, etc. and the influence of many factors, the difficulty and complexity of the evaluation of the insulation paper deterioration state of the transformer operation are increased, and it cannot meet the higher requirements of precise and intelligent evaluation. [0003] Paper dielectric loss, paper moisture content, paper breakdown voltage, paper conductivity, paper acid value, paper polymerization degree, paper total acid value, paper furfural content, paper co...

AI Technical Summary

Problems solved by technology

Aiming at how to deal with the big data problems involving many types, large quantities, and complex interrelationships involved in the evaluation of transformer insulation paper degradation fault status, on the basis of establishing a large database, the principle of data clustering is used to process and analyze the big data; for transformer insulation paper degradation The random and fuzzy uncertain parameters involved in fault state assessment are processed and analyzed using the theory of probabilistic fuzzy sets

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