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

作　　者：王增平[1] 赵兵[2] 李泽坤[1] 孙毅[1] 李彬[1] 

机构地区：[1]华北电力大学,北京102206 [2]中国电力科学研究院,北京100192

出　　处：《电测与仪表》2017年第13期85-92,共8页Electrical Measurement & Instrumentation

基　　金：国家重点研发计划项目(2016YFB0901104);中央高校基本科研业务费专项资金项目(2015ZD01);国网公司科技项目(DZ71-15-004)

摘　　要：电能表的质量问题直接影响了用户侧的供电可靠性与安全性,关系到国家电网系统稳定与经济运行。针对目前电能表质量存在的不足,应用Apriori关联规则数据挖掘方法,将7种检定试验结果作为质量评估指标,对这7类影响因素做了关联分析,得到了各个检定试验项目对检定质量的影响程度。同时探讨了检定项目的内部关联,找出了高频连带出现的不合格检定项目。在分析这些检定项高频出现的原因的基础上,得出了电能表质量薄弱点集中在计量模块这一结论。为提高检定通过率、提高产品质量提供了参考。The quality of electric energy meters has direct influence on power supply reliability and safety of the user side, which is strongly related to tile stammy atlu - t- defects existing in electric energy meters, this paper considers seven verification test results as quality evaluation inde- xes and analyzes associations of these seven quality factors by Apriori association rules data mining methods. There- fore, 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 asso-ciated 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 refer- ence 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 

分 类 号：TM933[电气工程—电力电子与电力传动]