高电压技术2018，Vol.44Issue(8)：2486-2492,7.DOI:10.13336/j.1003-6520.hve.20180731007
基于样本集的变压器油纸绝缘状态区间灰靶分类及老化诊断
Grey Target Classification and Aging Diagnosis of Transformer Oil-paper Insulation State Interval Based on Sample Set
摘要
Abstract
To solve the problem of fuzzy and uncertainty in evaluation of transformer oil-paper insulation condition, we proposed a method for evaluating the state level of oil-paper insulation based on a non-standard model. Firstly, the traditional method of approaching degree was abandoned, and the weight allocation coefficient wk was introduced to change the problem of weight distribution on each index into the optimization of objective function based on the sum of squares. Secondly, the grey target classification method based on sample set was adopted, and a circular grey target classification table for state classification of oil-paper insulation system was analyzed. Finally, a specific example was given to validate feasibility of this method. The results show that the evaluation results of the proposed algorithm and the actual operation state of transformers have consistency. This study can provide a useful reference for rational allocation of weight coefficients and calculation of grade intervals in condition assessment on oil-paper insulation.关键词
灰靶理论/综合赋权法/油纸绝缘状态/目标函数/环形灰靶分级表/样本集Key words
grey target theory/comprehensive weighting method/oil-paper insulation state/objective function/ring gray target classification table/sample set引用本文复制引用
蔡金锭,陈汉城..基于样本集的变压器油纸绝缘状态区间灰靶分类及老化诊断[J].高电压技术,2018,44(8):2486-2492,7.基金项目
国家自然科学基金(61174117).Project supported by National Natural Science Foundation of China(61174117). （61174117）
