检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:郑安刚[1] 张密[1] 曲明钰 赵兵[1] 陈昊[1] 熊秋[2] Zheng Angang;Zhang Mi;Qu Mingyu;Zhao Bing;Chen Hao;Xiong Qiu(China Electric Power Research Institute,Beijing 100186,China;Beijing University of Posts and Telecommunications,Beijing 100876,China)
机构地区:[1]中国电力科学研究院,北京100186 [2]北京邮电大学,北京100876
出 处:《电测与仪表》2018年第21期143-147,共5页Electrical Measurement & Instrumentation
基 金:国网公司科技项目(5442JL170006)
摘 要:针对智能电能表受到外界各种因素影响出现的故障,文中提出了一种基于贝叶斯网络的智能电能表故障类型分类与预测模型。分析了造成智能电能表故障的各种因素和常见的故障类型,通过大量历史故障数据的训练,结合专家意见,采用了基于评分搜索的方法构建了贝叶斯网络结构,在此基础上进行了故障类型预测和决策分析,并对提出的方法进行验证。研究结果表明:该方法可以有效地对智能电能表的故障类型进行预测,计算效率高,具有较好的适用性。For the failure of smart meter due to various external factors,this paper presents a classification and prediction model of smart meter fault type based on Bayesian networks.First of all,we analyzed various factors that caused the failure of smart meter,and then,combined with expert advice,the Bayesian network structure is constructed based on scoring by the training model with a large number of historical failure data.The fault type prediction and decision analysis are carried out,and the performance of the proposed method is verified.The research results show that this method can effectively predict the fault type of smart meter,and has high computational efficiency and good applicability.
分 类 号:TM933[电气工程—电力电子与电力传动]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.141.43.16