摘要
近年来,为了满足复杂系统的诊断要求,诊断技术已开始进入一个新的阶段,即智能化诊断阶段。这是一种基于专家知识和人工智能技术的诊断方法。通过专家系统和神经网络两种方法对故障诊断进行了研究。应用人工智能理论,开发了液压挖掘机的故障诊断专家系统。对液压挖掘机的故障原理进行了全面的分析,建立了故障知识库,实现了实时状态监测和故障诊断。
In recent years,diagnosis technology has already come into the new stage-intelligent fault diagnosis to satisfy diagnosis request in some complex system.This is a diagnosis method based on expert knowledge and intelligence technology.In this paper,research on fault diagnosis is based on expert system and neural network.Based on artificial intelligence theory,the author developed an expert system on diagnosing the malfunction of hydraulic excavator.The diagnosis principle of hydraulic excavator has been analyzed.The fault knowledge base has been built.The state monitoring and fault diagnosis can been carried out.
出处
《中国现代教育装备》
2010年第15期58-60,共3页
China Modern Educational Equipment
关键词
人工智能
状态监测
故障诊断
专家系统
artificial intelligence
state monitoring
fault diagnosis
expert systems