Research on Power System Fault Diagnosis Based on Bayesian Networks

摘要：

　　Aiming at the incompleteness and uncertainty of information existing in power system fault diagnosis,a new fault diagnosis approach baaed on Bayesian network is proposed in this paper.Through the Bayesian network of structure learning and parameter learning,a power system fault diagnosis model based on Bayesian network has been proposed.Conditional probability table describes the connection degree between various factors in quantity.Diagnostic results of instance proved the effectiveness and superiority of the proposed method.

关键词： power system fault diagnosis Bayesian network structure learning parameter learning

作者: Guofeng Yang Qingming Xiao Hong Ouyang Jiakui Zhao Tingshun Li Jing Zhou

作者单位: School of Economies and Management North China Electric Power University Beijing,China Ningxia Elect Ningxia Electric Power Company Yinchuan,China Beijing China-Power Information Technology Co.,Ltd.State Grid Electric Power Research Institute Beij School of Control and Computer Engineering North China Electric Power University Beijing,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2553-2556

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）