电测与仪表2017，Vol.54Issue(23)：99-104,6.
基于贝叶斯网络的智能电能表可靠性预计研究
Research on reliability prediction of smart meter based on Bayesian network
陈喜峰 1王海滨 2徐人恒 2赵晓琪 2李爽2
作者信息
- 1. 国网许昌供电公司,河南许昌461000
- 2. 哈尔滨电工仪表研究所,哈尔滨150028
- 折叠
摘要
Abstract
The reliability,as an important indicator of the normal work of smart meter,is the focus of power quality research at this stage of the problem;this paper aims at the importance of smart meter reliability prediction as the starting point to discuss the reliability of the energy meter research process.The reliability prediction bi-direction reasoning in traditional method of Bayesian network is analyzed,combined with the model theory of the fault tree,a new bucket elimination method is introduced to simplify the calculation of Bayesian network in the process of solving the reliability problem,and thus the expected results of reliability is obtained quickly.Finally,the method proposed in this paper is applied to the case of reliability prediction of electric energy meters.The results of the calculation meet the requirement of GJB / Z 299C-2006 standard in the error range,which proves that the method can simplify the prediction process and accurately predict the reliability at the same time.关键词
可靠性预计/失效率/贝叶斯网络/桶消元法Key words
reliability prediction/failure rate/Bayesian networks/bucket elimination method分类
信息技术与安全科学引用本文复制引用
陈喜峰,王海滨,徐人恒,赵晓琪,李爽..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,2017,54(23):99-104,6.
