径向基函数网络在电液伺服系统故障诊断中的应用研究  

Research on the Application of Radial Basis Function Network in the Fault Diagnosis of Electro-Hydraulic Servo System

作　　者：辛春宏 丁立新[1] 杨强[1] 

机构地区：[1]日照职业技术学院,山东日照276826

出　　处：《烟台职业学院学报》2008年第2期62-66,共5页Journal of Yantai Vocational College

摘　　要：针对电液伺服系统的故障诊断,提出融合系统状态信息作为系统特征向量,引入径向基函数网络作为模式识别分类算法的智能诊断方法,并论述采用径向基函数网络作为分类算法的可行性及其优势。最后以电液位置伺服系统为例,建立相关的径向基函数网络,验证以上的陈述。For the electro-hydraulic servo system fault diagnosis,this page puts forward the intelligent diagnosis method of using the state information of system as the system's eigenvector,and using radial basis function neural network as the classified arithmetic of identif ication pattern.It explains the feasibility and advantage of adopting the radial basis function neural network as a pattern recognition arithmetic.At last,it establishes radial basis function neural network based on the electro-hydraulic position servo system,and results prove the description hereinbefore.

关 键 词：故障诊断 径向基函数 神经网络 模式识别 

分 类 号：TP271.31[自动化与计算机技术—检测技术与自动化装置]