Open AccessCorrelation Analysis of Transformer Parameters Based on Pair-Copula
Author(s) -
Yasuyuki Takata,
Junjie Yang,
Jinchen Lin,
Chuanping Geng
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/571/1/012005
Subject(s) - transformer , copula (linguistics) , correlation coefficient , computer science , reliability engineering , correlation , engineering , mathematics , econometrics , electrical engineering , machine learning , voltage , geometry
Transformer temperature is an important indicator to detect the operating status of equipment. State evaluation of transformer temperature can analyze whether the equipment is in good operating condition. However, the internal structure of the transformer is complicated and collaborative failures are prone to occur. In addition, different ambient temperatures will also affect the temperature measurement of the equipment itself. Therefore, there are a large number of uncertain factors inside and outside the transformer, resulting in inaccurate temperature analysis. The article introduces the Pair-Copula function model to analyze the correlation of various variables in the transformer system, and combines the rank correlation coefficient to filter the variables, and finally constructs the correlation model of the transformer temperature, which provides an important analysis basis for subsequent state evaluation.