Li Ding, Deng-ping Tang, Wei Wei, Fan Li, Wenjia Cai
{"title":"Research on Fault Analysis Technology of Watt-hour Meter Based on Analytic Hierarchy Process","authors":"Li Ding, Deng-ping Tang, Wei Wei, Fan Li, Wenjia Cai","doi":"10.1109/ICNSC48988.2020.9238065","DOIUrl":null,"url":null,"abstract":"In today's widely used electric power, the performance and quality requirements for watt-hour meters are higher and higher. In practical application, watt-hour meters often fail for various reasons. For the fault data of watt-hour meter, how to make scientific analysis to improve the utilization rate of watt-hour meter is a practical problem. This paper analyzes the fault data of the watt-hour meter given by Hubei Power Grid. Firstly, the fault data of watt-hour meter is preprocessed, that is, the data is filtered, the abnormal data is eliminated, and then the data is cleaned based on Gaussian mixture model (GMM). Finally, a fault analysis method of watt-hour meter based on data normalization is proposed, that is, by analyzing the fault causes of watt-hour meter, a suitable mathematical model based on analytic hierarchy process (AHP) is established to obtain the quality of the manufacturer's watt-hour meter. According to the results of quality analysis, quantitative evaluation and hierarchical management of supplier product quality and design scheme are carried out to provide reference for bidding of intelligent watt-hour meter. The model method can effectively prevent a wide range of electrical energy meter failures, and it is of great significance to study the reliability and stability of power system.","PeriodicalId":412290,"journal":{"name":"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSC48988.2020.9238065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In today's widely used electric power, the performance and quality requirements for watt-hour meters are higher and higher. In practical application, watt-hour meters often fail for various reasons. For the fault data of watt-hour meter, how to make scientific analysis to improve the utilization rate of watt-hour meter is a practical problem. This paper analyzes the fault data of the watt-hour meter given by Hubei Power Grid. Firstly, the fault data of watt-hour meter is preprocessed, that is, the data is filtered, the abnormal data is eliminated, and then the data is cleaned based on Gaussian mixture model (GMM). Finally, a fault analysis method of watt-hour meter based on data normalization is proposed, that is, by analyzing the fault causes of watt-hour meter, a suitable mathematical model based on analytic hierarchy process (AHP) is established to obtain the quality of the manufacturer's watt-hour meter. According to the results of quality analysis, quantitative evaluation and hierarchical management of supplier product quality and design scheme are carried out to provide reference for bidding of intelligent watt-hour meter. The model method can effectively prevent a wide range of electrical energy meter failures, and it is of great significance to study the reliability and stability of power system.