Research on transformer condition evaluation method based on association rule set pair analysis theory
1
State Grid Jinjiang Electric Power Company,Jinjiang 362200,China
2
State Grid Dehua Electric Power Company,Dehua 362500,China
Submission date: 2023-10-10
Acceptance date: 2023-11-06
Online publication date: 2023-11-07
Publication date: 2023-11-07
Diagnostyka 2023;24(4):2023410
KEYWORDS
TOPICS
ABSTRACT
Combining the advantages of set pair analysis and association rules,This paper proposes a transformer condition evaluation based on association rule with set pair analysis theory.In this paper,by analyzing the correlation between the various fault symptoms of transformer,a set of fault types is obtained.At the same time,this paper introduces variable weight formula based on the support degree and confidence degree of association rules,and finally the weight coefficients of fault types and fault symptoms are obtained.By comparing and calculating the support and confidence of association rules,while introducing variable weight formulas,the weight coefficients of fault types and fault symptoms are obtained.it effectively avoid the subjectivity of expert opinions or experiences.Based on the scalability of set pair analysis,a 5-element connection degree is adopted to improve the accuracy of handling uncertain factors in transformer fault diagnosis.
FUNDING
This work is supported by Science Foundation of State Grid Fujian Electric Power Company(Grant , No. 52133121001F)
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| eISSN: | 2449-5220 |
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