摘要
为提高智能故障诊断系统对复杂机械设备的诊断能力,提出基于部件的人工神经网络专家系统诊断模型,根据机组结构模型,采用面向对象的知识库构建方法,集成了人工神经网络诊断技术和基于规则的诊断技术,提高了诊断的效率。
To improve the ability of intelligent fault diagnostic system for complex mechanical equipment, a component-based neural network and expert system diagnostic model is proposed. According to equipment structure, this model integrates the neural network diagnostic technique and expert system diagnostic technique with the object oriented method of knowledge base, thus improving the diagnostic efficiency.
出处
《电子机械工程》
2007年第1期59-62,共4页
Electro-Mechanical Engineering
基金
国家高技术研究发展计划(863)资助项目(No.2003AA430010)
国家自然科学基金资助项目(50475078)
关键词
分层故障诊断
神经网络
专家系统
hierarchical fault diagnosis
neural networks
expert system
