摘要
本文采用径向基(RBF)神经网络,对军用飞机燃油系统蓄压油箱空中爆破进行故障诊断,结果表明RBF神经网络具有精度高,收敛速度快等优点,可应用于飞机燃油系统其它部件的故障诊断。
According to the RBF neural network, the paper diagnoses the fault of the oil pressure reservoir outburst of the fighter plane oil system in air. The results implies that the RBF neural network has the characteristic of the high precision and fast convergence pace and so on. Therefore the RBF neural network cauld be applied to the fault diagnosis of other parts of the airplane oil system.
出处
《液压气动与密封》
2006年第6期35-37,共3页
Hydraulics Pneumatics & Seals
关键词
蓄压油箱
故障诊断
RBF神经网络
oil pressure reservoir
fault diagnosis
RBF neural network
