南京航空航天大学学报2011，Vol.43Issue(3)：435-438,4.
基于支持向量机的直升机旋翼不平衡故障分类研究
Unbalance Fault Identification of Helicopter Rotor Using Support Vector Machine
摘要
Abstract
A method is presented for diagnosis of helicopter rotor unbalance by using support vector machine (SVM).A diagnosis model based on SVM is established and a model test is conducted on the rotor unbalance composed of blade mass unbalance, blade pitch unbalance and trailing edge flap unbalance.The vibration signals from the rotor test are acquired and analyzed.The SVM-based diagnosis model is employed to identify the rotor unbalance faults and compared with the diagnosis model based on RBF neural network.The results show that the SVM-based diagnosis model is effective in diagnosing the unbalance faults of helicopter rotor with small samples.关键词
直升机旋翼/故障诊断/支持向量机/核函数Key words
helicopter rotor/ fault diagnosis/ support vector machine(SVM)/ kernel function分类
航空航天引用本文复制引用
高亚东,邓升平..基于支持向量机的直升机旋翼不平衡故障分类研究[J].南京航空航天大学学报,2011,43(3):435-438,4.基金项目
直升机旋翼动力学重点实验室基金(9140C4004010805)资助项目 （9140C4004010805）
中航工业集团公司"十一五"预研基金(62001020101)资助项目. （62001020101）
