Network Fault Diagnosis System Of Knowledge Acquisition And Knowledge Base To Build

This paper mainly introduce some important technologies and algorithms about the acquisition and update of alarm and diagnose rules used in a network fault diagnose system and knowledge expression and knowledge base construction. Firstly simply narrate the current state of network fault management and the method used in network fault diagnose, then introduce the system design and system modules partition and the reasoning machine and control strategy used in the system, after that is knowledge expression and knowledge acquisition. Knowledge expression includes how to express the rules and how to store facts and rules .Knowledge acquisition is the emphasis of this paper, it includes two parts: alarm rules acquisition and diagnose rules acquisition. The characteristic of the paper is the acquisition and update of knowledge are related tightly, and the knowledge update can give the system new knowledge. The system uses data mining technology and rough set theory to acquire alarm rules and diagnose rules respectively through algorithms put forward by the paper, and experiments tell us the algorithms have good effect in time . Self-increasing method is used in knowledge update.