文献类型：期刊文献

中文题名：基于遗传算法的网络故障诊断专家系统的设计与实现

英文题名：Design and Realization of a Network Fault Diagnosing Expert System Based on Genetic Algorithm

作者：戴忠健[1];苏利敏[2]

第一作者：戴忠健

通讯作者：Dai, Z.-J.

机构：[1]北京理工大学信息科学技术学院自动控制系;[2]北京联合大学信息学院

第一机构：北京理工大学信息科学技术学院自动控制系,北京100081

通讯机构：[1]Dept. of Automat. Control, Sch. of Info. Sci. and Technol., Beijing Inst. of Technol., Beijing 100081, China

年份：2005

卷号：25

期号：1

起止页码：38-40

中文期刊名：北京理工大学学报

外文期刊名：Journal of Beijing Institute of Technology

收录：CSTPCD;;EI(收录号：2005118999854);Scopus(收录号：2-s2.0-14744286986);北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

基金：国家部委预研项目(023060104)

语种：中文

中文关键词：专家系统;故障诊断;故障管理;简单网络管理协议

外文关键词：expert system; fault diagnosis; fault management; simple network management protocol(SNMP)

摘要：采用遗传算法理论实现了故障规则的自动获取,并利用专家系统实现诊断,提高了系统抑制噪声的能力,同时使系统具备了自学习功能,并对该系统的结构和各模块功能进行了阐述.采用面向对象方法和VisualC++6.0程序设计语言开发了一个智能故障诊断专家系统,在校园网环境中进行了实验.调试结果表明,该系统能够在校园网环境下实现告警数据的收集与处理、网络状态的监测以及简单故障的诊断等功能.
An intelligent fault diagnosis expert system is developed by using object-oriented approach and Visual (C++6.0) language. The frame of system and the function of each module are also introduced. In the system the theory of genetic algorithm is presented to process the problem of knowledge acquisition, and expert system is used for network fault diagnosis, this improves the system capability of restraining noises, and makes system be able to do self-learning. The results of the experiment on the campus network show that the system can collect and deal with alarm data, inspect the state of networks and diagnose the network fault.