贝叶斯网络应用于智能电表可靠性预计

详细信息    查看全文 | 推荐本文 |

英文篇名：Bayesian Network Applied to Smart Meter Reliability Prediction 作者：张卫东 ; 刘大明 ; 郭博傲 关键词：贝叶斯网络 ; 模块消元 ; 可靠性预计 ; 元器件应立法 英文关键词：Bayesian network;;Module elimination;;Reliability prediction;;Component stress method 中文刊名：中国仪器仪表 英文刊名：China Instrumentation 机构：上海电力学院计算机科学与技术学院; 出版日期：2019-01-25 出版单位：中国仪器仪表 年：2019 期：01 基金：大型电气传动系统与装备技术国家重点实验室开放基金课题(SKLLDJ032016021) 语种：中文; 页：42-46 页数：5 CN：11-3359/TH ISSN：1005-2852 分类号：TP18;TM933.4

摘要

可靠性预计作为一种定性评价智能电表可靠性的手段,同时也是一种有利于改进智能电表的技术方法,对现阶段对电能质量研究具有重要意义。本文以智能电表可靠性预计为切入点,分析可靠性预计的常规方法的优缺点,重点讲述普遍所采用的元器件应力法。搭建贝叶斯网络对电表进行可靠性预计,在进行贝叶斯网络求解过程中提出了模块消元法来进行对其简化运算,从而方便快捷的得到预期效果。最后运用所述方法进行实例验证,满足GJB/Z299C标准在误差范围内的要求,得出贝叶斯网络对电表的可靠性评估的有效性。
        Reliability is expected to be a means to qualitatively evaluate the reliability of smart meters, and it is also a technical method that is beneficial to the improvement of smart meters. It is of great significance to the study of power quality at the current stage. This article takes the smart meter reliability prediction as the starting point, analyzes the advantages and disadvantages of the conventional method of reliability prediction, and focuses on the stress method of the components used in this paper. The Bayesian network is set up to estimate the reliability of the electricity meter. In the Bayesian network solution process, the module elimination method is proposed to perform the simplified operation, so as to obtain the expected results conveniently and quickly. Finally, the method was used to verify the example and meet the requirements of the GJB/Z299 C standard within the error range. The validity of the Bayesian network reliability evaluation was obtained.

引文

1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.
    2 陈喜峰,王海滨,徐人恒等.基于贝叶斯网络的智能电能表可靠性预计研究[J].电测与仪表,2017(23):99~104.
    3 邵丕彦,张强,郝金伟.基于元器件应力法的智能电表可靠性预计[J].价值工程,2015(10):171~173.
    4 李红,樊燕燕,庞伟英.基于故障树法和贝叶斯网络的扣件钢管脚手架风险研究[J].工程管理学报, 2015(3):105~109.