免疫神经网络在故障诊断中的应用  

Application of immune neural network for fault diagnosis

作　　者：郑梁[1] 傅连东[1] 张迎[1] 汪锐[1] 

机构地区：[1]武汉科技大学机械自动化学院,湖北武汉430081

出　　处：《机械》2007年第10期24-26,71,共4页Machinery

摘　　要：利用生物免疫学的原理,将神经网络和免疫算法结合起来,形成免疫神经网络,并应用于电液伺服阀的故障诊断中。结果表明,免疫神经网络能够以较小的网络规模实现对多种故障模式的准确识别,具有高效率、容错性能好和强大的自适应能力。Used the biological immunology principle, combined the neural network and the immune algorithm to form the immune neural network, which was applied to electro-hydraulic servo valve fault diagnosis. The result indicated that, the immune neural network can realize many kinds of faults pattern recognition accurately with a smaller network scale, and had the high efficiency, good fault-tolerant performance and formidable auto-adapted ability.

关 键 词：免疫神经网络 故障诊断 电液伺服阀 

分 类 号：TH165.3[机械工程—机械制造及自动化]