摘要
利用贝叶斯网络分类算法技术对各厂家输变电设备状态监测装置的可靠性指标进行自动监控统计的初步方法,为系统主站可靠性功能开发提供参考依据。由于现场装置的组成结构以及现场应用条件十分复杂,因此通过系统主站不可能完全实现对装置可靠性的自动监控,仍需要提供人工确认,以及辅助判断的输入接口,给出最终的可靠性统计指标。
The statistical method based on Bayesian networks classification algorithm is used for monitoring the reliability of supervisory instruments of power transmission and transformation equip-ment, which serves as a reference for the reliability development of the main monitoring system.Due to the composition structure of the field devices and field application condition are very complex, it＇s difficult to realize a totally automatic monitoring service on device reliability through themain monitoring system. Some manual verification work and input interface for auxiliary judgmentare still needed for helping generate final statistical indicators on reliability.
作者
王文烁
胡丹晖
黄俊杰
张坤
李云鹏
WANG Wenshuo;HU Danhui;HUANG Junjie;ZHANG Kun;LI Yunpeng(State Grid Hubei Electric Power Research Institute, Wuhan Hubei 430077, China;State Grid Fuda Technology Development Company Limited, Beijing 100070, China)
出处
《湖北电力》
2017年第9期35-38,共4页
Hubei Electric Power
关键词
数据可用性计算
通信故障分析
设备缺陷
贝叶斯网络分类算法
状态监测
calculation of data availability
analysis of communication failures
equipment defects
bayesian network classification algorithm
condition monitoring
