基于支持向量机的发动机故障诊断研究

习速率。实验结果表明:支持向量机对于小样本的发动机故障诊断有着良好的应用前景。参考文献[1]鄂加强.智能故障诊断及其应用[M].长沙:湖南大学出版社,2006. [2]DUANGR,PATTONRJ.RobustfaultdetectionusingLuenberger-typeunknowninputobservers-aparametricapproach[J].IntJofSysSic,2001,32(4):533-540. [3]OSUNAE,FREUNDR,GIROSIF.Trainingsupportvectormachines:Anapplicationtofacedetection[C]//ProceedingsofCVPR'97,PuertoRico,1997:52-55. [4]LUCY,YANPF,ZHANGCS.Facerecognitionusingsupportvectormachine[C]//N'98,Bejing,1998:652-655. [5]宋凯,孙晓艳,纪建伟.基于支持向量机的玉米叶部害识别[J].农业工程学报,2007,23(1):155-157. [6]WESTONJ,WAKTKINSC.Multi-classSupportVectorM-achines[J].TechnicalReportCSD-TR-98-04.RoyalHolloway,UniversityofLondon,puterScience,1998,215(9):1065-1074. [7]SHAWE-TAYLOR.J,CRISTIANNIN.AnIntroductiontoSupportVectorMachinesandOtherKemel-basedLearningMethods[M].CambridgeUniversityPress,2008:8-105.