摘要
针对神经网络和传统故障诊断专家系统的不足,提出了一个把神经网络与专家系统相结合,发挥各自优点的基于神经网络的齿轮箱故障诊断专家系统设计方案。介绍了该系统的结构功能和主要特点,并阐述了该系统重要模块的实现方法。
This paper, according to the disadvantages of artificial neural network and traditional expert system, puts forward a design scheme of the fault diagnosis expert system of gear box based on artificial neural networks, introduces the structural functions and main features of this system, and expounds its important modules and implementing methods.
出处
《科技情报开发与经济》
2005年第9期254-256,共3页
Sci-Tech Information Development & Economy
关键词
齿轮箱
故障诊断
专家系统
神经网络
gear box
fault diagnosis
expert system
artificial neural network