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基于LS-SVM的飞控系统传感器故障诊断
引用本文:胡良谋,曹克强,苏新兵,李小刚.基于LS-SVM的飞控系统传感器故障诊断[J].飞行力学,2011,29(3):36-39,43.
作者姓名:胡良谋  曹克强  苏新兵  李小刚
作者单位:空军工程大学工程学院;
基金项目: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)
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.

关 键 词:最小二乘支持向量机  飞控系统  系统辨识  故障诊断

Fault diagnosis for flight control system's sensor based on LS-SVM
HU Liang-mou,CAO Ke-qiang,SU Xin-bing,LI Xiao-gang.Fault diagnosis for flight control system's sensor based on LS-SVM[J].Flight Dynamics,2011,29(3):36-39,43.
Authors:HU Liang-mou  CAO Ke-qiang  SU Xin-bing  LI Xiao-gang
Institution:HU Liang-mou,CAO Ke-qiang,SU Xin-bing,LI Xiao-gang(Engineering Institute,Air Force Engineering University,Xi'an 710038,China)
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.
Keywords:least squares support vector machines(LS-SVM)  flight control system  system identification  fault diagnosis  
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