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基于LS-SVM的飞控系统传感器故障诊断
Fault diagnosis for flight control system’s sensor based on LS-SVM
【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。
【Abstract】 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.
【关键词】 最小二乘支持向量机;
飞控系统;
系统辨识;
故障诊断;
【Key words】 least squares support vector machines(LS-SVM); flight control system; system identification; fault diagnosis;
【Key words】 least squares support vector machines(LS-SVM); flight control system; system identification; fault diagnosis;
【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)
- 【文献出处】 飞行力学 ,Flight Dynamics , 编辑部邮箱 ,2011年03期
- 【分类号】V249.1
- 【被引频次】10
- 【下载频次】237