电测与仪表2017，Vol.54Issue(13)：85-92,8.
基于Apriori关联规则的电能表检定质量影响因素分析
Impact factor analysis based on Apriori association rules for verification quality of electric energy meters
摘要
Abstract
The quality of electric energy meters has direct influence on power supply reliability and safety of the user side, which is strongly related to the stability and economic operation of state grid system.According to the current defects existing in electric energy meters, this paper considers seven verification test results as quality evaluation indexes and analyzes associations of these seven quality factors by Apriori association rules data mining methods.Therefore, the degree of influence caused by verification items on verification quality has been determined.This paper also discusses the inner association between seven verification items and has found some failed verification items of an associated high frequency.Considering the reasons for these high-frequent items, the conclusion that current weak points of electric energy meters are concentrated on metering modules has been founded.Finally, this paper provides a reference for improving verification tests pass rate and ameliorating products.关键词
电能表/检定项目/数据挖掘/关联规则/质量影响因素Key words
electric energy meter/verification items/data mining/association rule/quality factors分类
信息技术与安全科学引用本文复制引用
王增平,赵兵,李泽坤,孙毅,李彬..基于Apriori关联规则的电能表检定质量影响因素分析[J].电测与仪表,2017,54(13):85-92,8.基金项目
国家重点研发计划项目(2016YFB0901104) （2016YFB0901104）
中央高校基本科研业务费专项资金项目(2015ZD01) （2015ZD01）
国网公司科技项目(DZ71-15-004) （DZ71-15-004）
