The Fault Element Diagnosis Model of Weighed Directed Bipartite Graph Based on Bayesian Suspected Degree

摘要：

　　Aiming at overcoming the disadvantages,such as high computational complexity,difficulty of modeling and error of diagnosis,which are existed in the current fault diagnosis methods,this paper analyzes the relationship between the faults and symptoms,establishes a fault diagnosis model based on weighed directed bipartite graph in this paper.According to the statistical probability,this paper initializes the model.This paper also completes the symptom based on switch temporal logic,calculates the Bayesian suspected degree of fault,and finally outputs results of fault diagnosis.

关键词： weighed directed bipartite graph Bayesian suspected degree fault diagnosis power system

作者: Su Shenghao Tu Yong Yang Shaozhi Xiong Feng Wang Yupeng Hu Zheng Nan Meng

作者单位: Liangshan electric power company State grid Sichuan, China Institute of Electrical Engineering SHIEP Shanghai, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 748-752

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）