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基于层次灰关联分析的变压器状态评估关键指标体系构建及应用

宋人杰 刘瑞英 刘耀伟 吴启龙 曹明

高电压技术2018,Vol.44Issue(8):2509-2515,7.
高电压技术2018,Vol.44Issue(8):2509-2515,7.DOI:10.13336/j.1003-6520.hve.20180731010

基于层次灰关联分析的变压器状态评估关键指标体系构建及应用

Key Indicator System Establishment and Application for Transformer Condition Assessment Based on Hierarchy Grey Relation Analysis

宋人杰 1刘瑞英 2刘耀伟 3吴启龙 2曹明2

作者信息

  • 1. 东北电力大学信息工程学院,吉林 132012
  • 2. 国网河北省电力有限公司信息通信分公司,石家庄 050000
  • 3. 国网吉林省电力有限公司吉林供电公司,吉林 132000
  • 折叠

摘要

Abstract

Aiming to solve the problems of various indicators and complex system structure in transformer evaluation system, we proposed the hierarchy grey relation analysis (HGRA) which is based on fault type to establish the key indicator system of transformer. First, the fault set and initial indicator set were selected for the power transformer. Then, the grey relational analysis (GRA) was proposed to get the comprehensive correlation degree (CCD) of inital indicator and fault type, so as to design the dynamic method for screening the key indicator. Finally, the support degree was introduced to check the rationality of the key indicator and the key indicator system was formed. The experimental results indicate that the evaluation results of the application of key indicator system to the transformer is consistent with the actual situation. A case analysis has proved the accuracy and practical application value of the key indicator system.

关键词

变压器/层次灰关联分析/指标筛选/支持度/关键指标体系/状态评估

Key words

transformer/hierarchy grey relational analysis/indicator screen/support/key indicator system/condition evaluation

引用本文复制引用

宋人杰,刘瑞英,刘耀伟,吴启龙,曹明..基于层次灰关联分析的变压器状态评估关键指标体系构建及应用[J].高电压技术,2018,44(8):2509-2515,7.

基金项目

国家自然科学基金(61271115).Project supported by National Natural Science Foundation of China(61271115). (61271115)

高电压技术

OA北大核心CSCDCSTPCD

1003-6520

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