- Tytuł:
- Research on transformer condition evaluation method based on association rule set pair analysis theory
- Autorzy:
-
Shanyuan, Wang
Donglin, Cai
Zhonghong, Chen
Menglong, Bai
Hongyu, Ouyang
Xiaoyang, Lai
Weichao, Hu
Changke, Chen
Yangchen, Shi - Powiązania:
- https://bibliotekanauki.pl/articles/27313832.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
transformer
set pair analysis
association rules
fault type
fault symptoms
transformator
reguły asocjacyjne
typy usterek
symptomy uszkodzeń - Opis:
- 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.
- Źródło:
-
Diagnostyka; 2023, 24, 4; art. no. 2023410
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł