关键词: 故障诊断, 知识扩展, 语义网, 本体, 机床

Abstract: It is difficult to expand the knowledge base of knowledge-based machine tool fault diagnosis expert system and the knowledge collection efficiency is low.To solve these two questions,a knowledge-based machine tool fault diagnosis knowledge expansion method and a knowledge expansion platform architecture using this method were proposed.This method took the machine tool fault diagnosis knowledge model and the knowledge base instance as objects,and used the semantic web technology to construct the machine tool fault diagnosis knowledge model and expand the knowledge base instance,so as to improve the knowledge collection and integration efficiency.By importing the fault diagnosis data of different types of machine tools into the knowledge expansion platform,a fault diagnosis knowledge model for a specific type of machine tools could be constructed;By importing a specific type of machine tool fault diagnosis knowledge instance to the knowledge expansion platform,the knowledge base of that type of machine tool could be expanded.Finally,based on the above knowledge expansion method and platform architecture,the platform was developed and the knowledge extension function of the machine tool fault diagnosis was performed.The effectiveness of the knowledge expansion function in knowledge model construction and knowledge base instance expansion was verified.

Key words: fault diagnosis, knowledge expansion, semantic web, ontology, machine tool