Maintenance cycle prediction method for smart electricity meters based on Weibull distribution with economy and high reliability
LI Weibo1, SU Wenbin1, XU Chenghu1, ZHANG Maojie1, FANG Hualiang2
1. School of Automation, Wuhan University of Technology, Wuhan 430070; 2. School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072
Abstract: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.
李维波, 苏文斌, 徐成虎, 张茂杰, 方华亮. 基于威布尔分布的经济性与高可靠度智能电表维修周期预估算法[J]. 电气技术, 2023, 24(1): 17-22.
LI Weibo, SU Wenbin, XU Chenghu, ZHANG Maojie, FANG Hualiang. Maintenance cycle prediction method for smart electricity meters based on Weibull distribution with economy and high reliability. Electrical Engineering, 2023, 24(1): 17-22.