电测与仪表2024，Vol.61Issue(4)：206-211,6.DOI:10.19753/j.issn1001-1390.2024.04.029
数据与知识融合的电能表故障关联模型研究
Research on electricity meter fault correlation model based on data and knowledge fusion
摘要
Abstract
At present,a large number of electricity meters removed due to faults have accumulated in various places,but the value of the dismantled meters has not been fully explored.This paper uses the information of the dismantled meter to build a correlation model from"electricity meter failure phenomenon"to"component failure",and gives the complete process of establishing the model.Firstly,this paper conducts an open-top inspection of the dismantled meter,records the preliminary results,and conducts data screening and cleaning.In this way,the direct and indirect relationship between the fault phenomenon and the component failure is obtained.Secondly,for the direct relationship,this paper adopts the statistical method to model,and for the indirect relationship,it uses the analytic hierarchy process(AHP)as the bridge to model.Finally,the complete association model is obtained.This paper also gives the application example and data update method of the model.The effectiveness of the method is proved by experiments.The proposed method can be used to guide the maintenance and repair of the electricity meter and the improvement of the production process.关键词
电能表故障/元器件故障/数据筛分清洗/层次分析法Key words
electricity meter failure/component failure/data screening and cleaning/AHP分类
信息技术与安全科学引用本文复制引用
丁黎,夏水斌,魏伟,王子钰,梁益洁,彭晗..数据与知识融合的电能表故障关联模型研究[J].电测与仪表,2024,61(4):206-211,6.基金项目
国网湖北省电力有限公司科技项目(521532200013) （521532200013）
