摘要
针对飞控系统故障诊断难的问题,利用最小二乘支持向量机(LS-SVM)设计了一个飞控系统传感器的故障诊断系统。仿真试验结果表明,LS-SVM具有很高的建模精度和较强的泛化能力,基于LS-SVM的故障诊断系统能对各型传感器的故障进行诊断和定位,验证了该方法的有效性和先进性。
Aiming at the problem of hard fault diagnosis for flight control system, a sensor fault diagnosis system is designed for flight control system by using the Least Squares Support Vector Machines （LS-SVM）. The simulation results show that the LS-SVM has high modeling precision and strong generalization. The fault diagnosis based on the LS-SVM can diagnose the sensor＇ s fault and ascertain which sensor goes wrong. Therefore the method mentioned above is valid and advanced.
出处
《飞行力学》
CSCD
北大核心
2011年第3期36-39,43,共5页
Flight Dynamics
基金
中国博士后科学基金资助(20090460116)
中国博士后科学基金特别资助(201003788)
关键词
最小二乘支持向量机
飞控系统
系统辨识
故障诊断
least squares support vector machines （LS-SVM）
flight control system
system identification
fault diagnosis
