The application of fuzzy reasoning in communication network fault diagnosis

Fu Fan, Xingming Li
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引用次数: 2

Abstract

Fault management is an important part of network management, it is responsible for fault detection and locating the fault in the network. The modern network system, distributing widely, has a huge, complicated structure. Even if there is a small fault, it would bring users huge economic losses, However, in the actual network, a network fault usually leads to a number of alarm events, so we must analysis the correlation among the alarm events, and then determine the root alarm. In order to analyse the correlation among alarms, the network alarm was processed into fuzzy network alarm, which is compatible with fuzzy reasoning, by fuzzy set theory and fuzzy reasoning technology. Then set up corresponding knowledge representation and reasoning method for fuzzy reasoning. In this way, the root alarm can be located more quickly and accurately.
模糊推理在通信网络故障诊断中的应用
故障管理是网络管理的重要组成部分,它负责对网络中的故障进行检测和定位。现代网络系统分布广泛,结构庞大、复杂。即使是一个很小的故障,也会给用户带来巨大的经济损失。然而,在实际网络中,一个网络故障通常会导致多个报警事件,因此我们必须分析报警事件之间的相关性,然后确定根本报警。为了分析报警之间的相关性,利用模糊集理论和模糊推理技术,将网络报警处理成与模糊推理兼容的模糊网络报警。然后建立相应的知识表示和推理方法进行模糊推理。这样可以更快速、准确地定位到根源告警。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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