摘要
智能电表的可靠性寿命预估对设计的极端重要性,将为智能电表的维修工作带来显著便利。基于智能电表运行时间数据分析,建立二参数威布尔分布模型,确定二参数威布尔分布的参数。计算得到相应的分布函数和可靠度函数,确定在可靠度为90%时的预防性维修周期和最小维修费用对应的预防性维修周期。运行实践和实际算例表明,所提出的智能电表预防性维修周期预估方法,可以为优化批次电能表的检定及轮换周期提供决策依据,大幅度节省运维成本。
The critical importance of reliability life estimation for the design of smart meters will bring significant convenience to the maintenance of smart meters. Based on the analysis of smart meter running time data, the two-parameter Weibull distribution model is established and the parameters of the two-parameter Weibull distribution are determined. The corresponding distribution function and reliability function are calculated to determine the preventive maintenance cycle when the reliability is 90% and the preventive maintenance cycle corresponding to the minimum maintenance cost. The operation practice and practical example shows the proposed preventive maintenance cycle prediction method for the smart electricity meters can provide decision-making basis for optimizing the verification and rotation cycle of batch electricity meters, which can greatly save operation and maintenance costs.
作者
李维波
苏文斌
徐成虎
张茂杰
方华亮
LI Weibo;SU Wenbin;XU Chenghu;ZHANG Maojie;FANG Hualiang(School of Automation,Wuhan University of Technology,Wuhan 430070;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072)
出处
《电气技术》
2023年第1期17-22,28,共7页
Electrical Engineering
基金
国家重点研发计划课题(2020YFB1506802)
国家自然科学基金面上项目(51977164)。
关键词
智能电表
二参数威布尔分布
可靠度
最小费用
预防性维修
smart meter
two parameter Weibull distribution
degree of reliability
least cost
preventative maintenance
