基于改进特征选择方法的齿轮故障SVM诊断

为提高齿轮故障诊断的精度,对常用的共享特征选择方法(Share feature selection,SFS)进行改进,提出了改进的特征选择方法(Improved feature selection,IFS).改进的特征选择方法结合齿轮两两故障类型之间的特点,在齿轮两两故障之间建立独立的故障特征集,用以取代所有故障类型的...

SVM Diagnosis of Gear Fault based on Improved Feature Selection Method

In order to improve fault diagnosis accuracy of gear,an improved feature selection(IFS)meth?od is proposed based on share feature selection(SFS)which is usually used.In the IFS,an independent fault feature set is established for binary fault type based on the characteristics of the two fault types of gears which used to instead unified fault feature set for all fault types of gears.And then,the independent fault feature sets are identified by establishing multiple support vector machines with multi binary classification support vector machine and the diagnosis results are obtained.The example of gear fault diagnosis shows that the improved fea?ture selection method eliminates the interference of useless feature,the diagnosis accuracy is improved and has certain advantages.