电测与仪表2018，Vol.55Issue(2)：86-91,6.
基于“多表合一”系统的智能表异常诊断及处理方法研究
Study on abnormity diagnosis and treatment method of smart meters based on multiple metering system
摘要
Abstract
Based on analyzing the characteristics of fault diagnosis and practical elimination of smart electric,water and gas meter,an abnormity diagnosis and treatment method of smart meters based on association mining is proposed in this paper.Firstly,diagnosis rules are obtained through association mining by this method,the monitored data is then converted to event elements and the diagnostic results are obtained via a rule match.Finally,the diagnostic results are confirmed and feedback through the field investigation.The abnormity diagnosis and elimination of closedloop management are combined by the method,and the accuracy of the abnormity diagnosis is increased by improving the diagnosis knowledge base,and the superiority of the association mining technology is fully exerted.关键词
关联挖掘/异常诊断/闭环管理/诊断知识库Key words
association mining/ abnormity diagnosis/ closed-loop management/ diagnosis knowledge base分类
信息技术与安全科学引用本文复制引用
王新刚,祝恩国,朱彬若,曹祎..基于“多表合一”系统的智能表异常诊断及处理方法研究[J].电测与仪表,2018,55(2):86-91,6.基金项目
国家电网公司科技项目(520940160000H) （520940160000H）
国网上海市电力公司科技项目(52094014001X) （52094014001X）
