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

Identyfikatory

DOI

10.29354/diag/174869

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

transformer; set pair analysis; association rules; fault type; fault symptoms

PL

transformator; reguły asocjacyjne; typy usterek; symptomy uszkodzeń

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2023
• Tom: Vol. 24, No. 4
• Strony: art. no. 2023410
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Shanyuan Wang

• State Grid Jinjiang Electric Power Supply Company, Jinjiang 362200, China

• https://orcid.org/0009-0009-2465-5590

autor

Donglin Cai

• State Grid Jinjiang Electric Power Supply Company, Jinjiang 362200, China

• https://orcid.org/0009-0009-8650-0375

autor

Zhonghong Chen

• State Grid Dehua Electric Power Supply Company, Dehua 362500, China

• https://orcid.org/0009-0002-2503-1105

autor

Menglong Bai

• State Grid Jinjiang Electric Power Supply Company, Jinjiang 362200, China

• https://orcid.org/0009-0008-6755-7619

autor

Hongyu Ouyang

• State Grid Jinjiang Electric Power Supply Company, Jinjiang 362200, China

• https://orcid.org/0009-0009-2885-2823

autor

Xiaoyang Lai

• State Grid Jinjiang Electric Power Supply Company, Jinjiang 362200, China

autor

Weichao Hu

• State Grid Jinjiang Electric Power Supply Company, Jinjiang 362200, China

autor

Changke Chen

• State Grid Jinjiang Electric Power Supply Company, Jinjiang 362200, China

autor

Yangchen Shi

• State Grid Jinjiang Electric Power Supply Company, Jinjiang 362200, China

Bibliografia

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