A method of evidence fusion and set pair analysis for health assessment of transformers

Abstract

The invention relates to an evidence fusion and set pair analysis method for transformer health condition assessment, comprising the following steps: S1, constructing a transformer characteristic class data set; S2, constructing a transformer t class data set; S3, constructing a correlation function between a transformer test class and a feature class data set; S4: constructing a mass function; S5, constructing a BPA output function; S6: assessing the health status of the transformer. The invention performs set processing on transformer state characteristic data and experimental data with random uncertainty, the correlation function and BPA output function with the same spatial structure can be constructed to evaluate the health status of distribution transformers and reflect the uncertainty of the eigenvalues of the health status of transformers, which provides theoretical guidance for the health status assessment of distribution transformers and the necessary technical support for the operation and maintenance of distribution networks.

Description

technical field [0001] The invention relates to the technical field of electric power system and automation thereof, in particular to an evidence fusion and set pair analysis method for transformer health state assessment. Background technique [0002] Subsequent maintenance and regular planned maintenance of traditional distribution network main equipment often require a lot of manpower and material resources, and the cost performance of maintenance is not high. With the improvement of equipment automation, the failure mode of time-related equipment only accounts for 6% of all failure modes of equipment, so the time-based periodic maintenance strategy is only effective for 6% of equipment failure modes. Based on regular maintenance combined with experience to determine the maintenance method to extend or shorten the maintenance cycle, and achieved certain results. [0003] With the increasing number of power equipment, the relationship between equipment is becoming more an...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to overcome the deficiencies of the prior art, provide an evidence fusion and set pair analysis method for transformer health status assessment, aiming at how to deal with distribution transformer health status assessment involving many types, large quantities, and complex relationships. For data problems, on the basis of establishing a large database, the principles of evidence fusion and set pair analysis are used to process and analyze large data; for the parameters of randomness and fuzzy uncertainty involved in the health status assessment of distribution transformers, the theory of probabilistic fuzzy sets is used process and analyze

[0012] The present invention aims to provide a method and system for evidence fusion and set pair analysis of transformer health status assessment, which is used to solve the problems of low evaluation accuracy caused by traditional methods using experience, a small number of parameters or data, and resulting in over-repair or disrepair.

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