多分辨率社团结构挖掘在故障定位中的应用  

Application of multi-scale community detection in fault location

作　　者：禹航[1] 肖明清[1] 胡雷刚[1] 方甲永[1] 

机构地区：[1]空军工程大学工程学院二系自动测试系统实验室,西安710038

出　　处：《振动与冲击》2012年第6期77-82,共6页Journal of Vibration and Shock

基　　金：国防"十二五"装备预先研究重点项目;863重点项目;电子测试技术国防科技重点实验室基金项目(51487020305JB3201)

摘　　要：由于战场环境下对武器系统自我修复与重构功能的需求,以及分布式系统结构的特殊性,使得分布式武器装备具有众多的功能节点及复杂的交联关系,对其进行快速故障定位已成为武器系统维修保障的重要研究内容。运用复杂网络理论对分布式系统建模,结合复杂网络社团性这一特点,提出了多分辨率模型映射的新观点,并以自律分散自动测试系统作为分析载体,运用多分辨率社团挖掘的方法,进行多分辨率故障回溯推理,为实现新型分布式武器系统的故障定位提供了新思路。According to the requirements of self-repair and reconfiguration of a weapon system,and the characters of a distributed system,a distributed weapon system has lots of functional nodes and complex communications.Finding a method of fault location for a distributed weapon system becomes a focus of weapon maintenance.Here,the complex networks theory was used to model a distributed system,the community structure of complex networks was employed to analyze the system structure,a new method of multi-scale mapping was proposed.At last,an autonomous decentralized test system was taken as an example to test the method.The results provided a new idea for a distributed weapon system＇s fault location.

关 键 词：复杂网络理论 社团结构 多分辨率映射 自律分散系统 故障定位 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]