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文章摘要
基于混合威布尔分布的智能电能表维修周期预估方法
Method of maintenance cycle prediction for smart electricity meters based on hybrid Weibull distribution
Received:March 15, 2023  Revised:March 28, 2023
DOI:10.19753/j.issn1001-1390.2025.02.027
中文关键词: 智能电表  混合威布尔分布  可靠度  预防性维修
英文关键词: smart electricity meter, hybrid Weibull distribution, reliability, preventive maintenance
基金项目:国家重点研发计划项目(2020YFB1506802);国家自然科学基金面上项目(51977164)
Author NameAffiliationE-mail
Du Zhengzhou XJ Metering Co,Ltd 534414471@qq.com 
Huang Yajuan XJ Metering Co,Ltd 562720086@qq.com 
Zhang Zhiying XJ Metering Co,Ltd 39656715@qq.com 
Wu Lili XJ Metering Co,Ltd 525158913@qq.com 
Su Wenbin School of Automation, Wuhan University of Technology 2647681410@qq.com 
Li Weibo* School of Automation, Wuhan University of Technology liweibo@whut.edu.cn 
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中文摘要:
      智能电能表作为智能配电网中重要的数据采集设备,承担着原始电能数据采集、计量和传输的重要任务,提高其可靠性对电力部门实现信息集成、分析优化和信息展现至关重要。合理选择智能电能表的维修周期,对提高智能电能表的可靠性影响重大。针对智能电能表的时钟错误、电池欠压和事件记录异常三个主要故障为例,采用混合威布尔分布对智能电能表联合体可靠性寿命进行分析,并结合维修费用来选择最小维修费用周期。实际算例表明,所提出的智能电能表预防性维修周期预估方法可为智能电能表的维修和更换提供分析依据,既可提高智能电能表的可靠性,又能节省人力和物力。
英文摘要:
      As an important data acquisition device in intelligent distribution network, smart electricity meters undertake the important tasks of raw energy data acquisition, measurement and transmission. Improving the reliability of smart electricity meters is very crucial for the power sector to realize information integration, analysis and optimization and information presentation. Reasonable selection of maintenance cycle of smart electricity meters has great influence on improving its reliability. In this paper, taking three major failures of smart electricity meters, namely clock error, battery under-voltage and event record anomaly as examples, the reliability life of smart electricity meter consortium is analyzed by using hybrid Weibull distribution, and the minimum maintenance cost cycle is selected based on the maintenance cost. Practical examples show that the proposed method can provide an analysis basis for the maintenance and replacement of smart electricity meters, improve the reliability of smart electricity meters, and save manpower and material resources.
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