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

Abstract
Figure/Table
References
Related Citation (5)

Download: PDF (17409 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

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.

Key words： smart meter two parameter Weibull distribution degree of reliability least cost preventative maintenance

Received: 13 September 2022

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LI Weibo
	SU Wenbin
	XU Chenghu
	ZHANG Maojie
	FANG Hualiang

Cite this article:

LI Weibo,SU Wenbin,XU Chenghu等. Maintenance cycle prediction method for smart electricity meters based on Weibull distribution with economy and high reliability[J]. Electrical Engineering, 2023, 24(1): 17-22.

URL:

http://dqjs.cesmedia.cn/EN/Y2023/V24/I1/17

[1] 李若茜, 肖霞, 梅能, 等. 基于Bayes和Bootstrap方法的智能电表可靠性评估[J]. 南方电网技术, 2022, 16(3): 76-81.
[2] 滕永兴, 曹国瑞, 杨霖, 等. 基于混合威布尔分布的电能表寿命预测研究[J]. 电气传动, 2021, 51(1): 61-66.
[3] 肖勇, 胡珊珊, 许卓, 等. 智能电表通信模块可靠性评估[J]. 南方电网技术, 2020, 14(8): 52-57.
[4] 黄吉涛, 樊博, 周媛奉, 等. 基于随机森林的智能电表故障及寿命预测模型[J]. 兵工自动化, 2019, 38(10): 57-60.
[5] 杨国燕, 关靓. 基于回归分析的智能电表可靠性分析方法[J]. 黑龙江大学自然科学学报, 2019, 36(4): 498-504.
[6] 张蓬鹤, 张保亮, 陈思禹. 基于分层抽样的运行智能电能表剩余寿命预测方法研究[J]. 电测与仪表, 2019, 56(5): 148-152.
[7] FU Yihao, WANG Jun, XUE Shengjuan, et al.A new life prediction method of intelligent meters based on adaptive weighting coefficients[J]. Journal of Physics: Conference Series, 2020, 1654(1): 012085.
[8] YAO Haowei, WANG Xiaowei, WU Lusen, et al.Prediction method for smart meter life based on big data[J]. Procedia Engineering, 2018, 211: 1111-1114.
[9] 文昌俊, 陈哲, 徐云飞, 等. 基于威布尔分布的谷物干燥机可靠性分析[J]. 机电工程, 2022, 39(7): 972-977.
[10] 李彪, 柴江涛, 吴仕明, 等. 基于最小期望维修损失的风电机组部件定期维修策略研究[J]. 河北电力技术, 2018, 37(2): 29-32.
[11] 周湶, 熊涛涛, 江天炎, 等. 连续方波脉冲电压下PCB绝缘可靠性的多变量威布尔失效模型[J]. 电工技术学报, 2019, 34(6): 1310-1318.
[12] 韦先灿, 高伟, 杨耿杰. 基于改进动态线损估计的智能电表误差估计方法[J]. 电气技术, 2022, 23(2): 7-12.
[13] 冯振宇, 诸德培. 威布尔分布的拟合优度检验[J]. 机械强度, 1996, 18(4): 28-31.
[14] YANG Fuli, HOU Xingzhe, PAN Guangze, et al.Research on reliability modeling and evaluation method of smart meter[C]//2018 IEEE International Conference on Automation, Electronics and Electrical Engineering, Shenyang, China, 2018: 244-248.
[15] 孙谊媊, 李宁, 董小顺, 等. 智能电表可靠性预计的优化模型[J]. 电力科学与技术学报, 2017, 32(3): 15-21.
[16] 王辉, 郝丽丽, 黄梅, 等. 基于历史故障信息的配电网设备故障概率建模[J]. 电力自动化设备, 2020, 40(3): 76-84.
[17] ZHOU Lixia, LI Wenwen, YUAN Ruiming, et al.Comprehensive evaluation of reliability life and economy of electric energy meter considering inter- mittent operation mode[C]//2021 IEEE China Inter- national Conference on Electricity Distribution (CICED), Shanghai, China, 2021: 238-243.
[18] 董宸, 夏彦辉, 孙丹. 基于全寿命周期理论的微电网优化配置[J]. 电气技术, 2020, 21(3): 59-63.
[19] 裴峻峰, 王丝雨, 任明晨, 等. 空冷器风机的可靠性研究[J]. 机械设计与制造, 2020(8): 215-219.