基于模糊故障Petri网的网络故障成因建模与分析  

Modeling and Analysis of Network Fault Causation Based on Fuzzy Fault Petri Net

作　　者：赵朋[1] 李孝忠[1] 刘晓琴[1] ZHAO Peng;LI Xiaozhong;LIU Xiaoqin(College of Computer Science and Information Engineering,Tianjin University of Science & Technology,Tianjin 300457,China)

机构地区：[1]天津科技大学计算机科学与信息工程学院,天津300457

出　　处：《天津科技大学学报》2017年第2期62-66,72,共6页Journal of Tianjin University of Science & Technology

基　　金：国家自然科学基金资助项目(11301382);天津市应用基础与前沿技术研究计划项目(14JCQNJC00300)

摘　　要：针对目前网络故障解决速度慢、影响用户使用体验等问题,将模糊Petri网和故障Petri网相结合提出模糊故障Petri网(fuzzy fault Petri net,FFPN).建立基于FFPN的网络故障成因模型,并结合基于FFPN诊断思想的算法,计算模型中某个可能引起以太网出现故障的因素的真实度,真实度最高的成因因素即为可能引起以太网出现故障的最主要因素.实例分析表明,该模型可以较好地描述网络故障因素间的因果关系,并可定量分析得出以太网出现故障的主要因素,可为网络故障领域的研究与探索提供参考.In this research,fuzzy fault Petri net(FFPN)was proposed by combining fuzzy Petri net and fault Petri net.Anetwork fault causal model based on FFPN and FFPN diagnosis algorithm was thus established.According to the model,thecause with the highest validity is probably the most important cause of Ethernet faults.The most important factor could berecognized by analysing the validity that can cause Ethernet faults.The new method is aimed to solve the problems of slownetwork trouble-shooting and bad user experiences.Case analysis indicates that the model can well describe the causal relationshipbetween the network fault factors and quantitatively analyze the important factors that lead to Ethernetfaults.Therefore,the research can provide some reference for the future study of network.

关 键 词：网络故障 模糊故障Petri网 成因分析 真实度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]