NEW FEATURE SELECTION METHOD IN MACHINE FAULT DIAGNOSIS

作     者：WangXinfeng QiuJing LiuGuanjun 

作者机构：CollegeofMechatronicsEngineeringandAutomationNationalUniversityofDefenseTechnologyChangsha410073China 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2005年第18卷第2期

页      面：251-254页

核心收录：

学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：This project is supported by Scientific Research Foundation of National Defence of China (No.41319040202) 

主　　题：Feature selection Filter method Wrapper method Composite method Mutualinformation Genetic algorithm (GA) 

摘      要：Aiming to deficiency of the filter and wrapper feature selection methods, anew method based on composite method of filter and wrapper method is proposed. First the methodfilters original features to form a feature subset which can meet classification correctness rate,then applies wrapper feature selection method select optimal feature subset. A successful techniquefor solving optimization problems is given by genetic algorithm (GA). GA is applied to the problemof optimal feature selection. The composite method saves computing time several times of the wrappermethod with holding the classification accuracy in data simulation and experiment on bearing faultfeature selection. So this method possesses excellent optimization property, can save more selectiontime, and has the characteristics of high accuracy and high efficiency.