Specialist tool for monitoring the measurement degradation process of induction active energy meters

M. R. Silva, L. Galotto, J. Pinto, C. Canesin, E. H. Cardoso, S. Amorim, E. A. Mertens
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Abstract

This paper presents a methodology and a specialist tool for failure probability analysis of induction type watt-hour meters, considering the main variables related to their measurement degradation processes. The database of the metering park of a distribution company, named Elektro Electricity and Services Co., was used for determining the most relevant variables and to feed the data in the software. The modeling developed to calculate the watt-hour meters probability of failure was implemented in a tool through a user friendly platform, written in Delphi language. Among the main features of this tool are: analysis of probability of failure by risk range; geographical localization of the meters in the metering park, and automatic sampling of induction type watt-hour meters, based on a risk classification expert system, in order to obtain information to aid the management of these meters. The main goals of the specialist tool are following and managing the measurement degradation, maintenance and replacement processes for induction watt-hour meters.
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监测感应有源电能表测量退化过程的专用工具
本文提出了一种分析感应式电能表失效概率的方法和专用工具,考虑了与电能表测量退化过程相关的主要变量。配电公司Elektro Electricity and Services Co.的计量园区数据库用于确定最相关的变量,并将数据输入软件。所开发的电能表故障概率计算模型通过Delphi语言编写的用户友好平台在工具中实现。该工具的主要特点是:按风险范围分析故障概率;对计量园区内的电表进行地理定位,并基于风险分类专家系统对感应式电表进行自动抽样,以获取信息,辅助电表管理。专业工具的主要目标是跟踪和管理感应电能表的测量退化,维护和更换过程。
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