The application of support vector machine(SVM) in fault diagnosis based on rough set
Chengzhong Liu · Gansu Nongye Daxue xuebao · 2008
The basic principles of classification of support vector machine(SVM)was briefly introduced in this paper,and then a new method aiming to improve the efficiency of classification of SVM was proposed.Among which the Rough Set Theory was applied for data preprocessing of samples,so that the redundant features in the samples were removed.As a case study,this method was used for the actual turbine fault diagnosis.The result indicated that this method could improve the accuracy and efficiency of fault diagnosis.