中国电力 ›› 2022, Vol. 55 ›› Issue (7): 87-92.DOI: 10.11930/j.issn.1004-9649.202109151

• 电网 • 上一篇    下一篇

智能电能表批次故障预警和寿命预估方法

黄友朋1, 路韬1, 陈亮1, 党三磊1, 张捷1, 余思达2   

  1. 1. 广东电网有限责任公司计量中心,广东 广州 510062;
    2. 中国赛宝实验室,广东 广州 510610
  • 收稿日期:2021-09-15 修回日期:2022-05-26 出版日期:2022-07-28 发布日期:2022-07-20
  • 作者简介:黄友朋(1987—),男,硕士,从事电能计量设备技术研究,E-mail:13926164846@163.com;路韬(1993—),男,通信作者,硕士,从事电能计量设备技术研究,E-mail:lutao-sysu@foxmail.com;陈亮(1977—),男,博士,从事电能计量设备技术研究,E-mail:243681250@qq.com;党三磊(1982—),男,硕士,从事电能计量设备技术研究,E-mail:dang1020@163.com;张捷(1987—),男,硕士,从事电能计量设备技术研究,E-mail:13580374309@163.com;余思达(1985—),男,硕士,从事电子产品可靠性研究,E-mail:yusida007@163.com
  • 基金资助:
    南方电网有限责任公司科技项目(GDKJXM20185871)

Failure Early Warning and Life Estimation Method of Batch Smart Meter

HUANG Youpeng1, LU Tao1, CHEN Liang1, DANG Sanlei1, ZHANG Jie1, YU Sida2   

  1. 1. Metrology Center, Guangdong Power Grid Co., Ltd., Guangzhou 510062, China;
    2. China Saibao Laboratory, Guangzhou 510610, China
  • Received:2021-09-15 Revised:2022-05-26 Online:2022-07-28 Published:2022-07-20
  • Supported by:
    This work is supported by Science and Technology Project of China Southern Power Grid Co., Ltd. (No.GDKJXM20185871).

摘要: 随着智能电网的建设,智能电能表投运数量出现大幅增长。基于现场可靠性数据,使用极大似然法对智能电能表的分布参数进行估计,提出了智能电能表批次故障预警和寿命预估方法。实际验证结果表明,所提方法可以预警存在故障的智能电能表批次,预估可靠寿命,为智能电能表轮换机制的优化提供理论和数据支撑。

关键词: 智能电能表, 威布尔分布, 极大似然法, 故障预警

Abstract: With the construction of smart grid, the number of smart meters has increased significantly. Based on the field reliability data, the maximum likelihood method is used to estimate the distribution parameters of batch smart meters, and a batch fault early warning and life prediction method of batch smart meters is proposed. Verification results show that the proposed method can warn the batch of faulty smart meters, predict the reliable life, and provide theoretical and data support for the optimization of smart meter rotation mechanism.

Key words: smart meter, Weibull distribution, maximum likelihood estimation, failure early warning