Research Article

Rolling Bearing Fault Diagnosis Based on Domain Adaptation and Preferred Feature Selection under Variable Working Conditions

Table 6

Testing accuracies of RFS-LFDA-SVM and RFS-LFDA-KNN.

Dimension sizeRFS-LFDA-SVMRFS-LFDA-KNN
Case 1 testing accuracy (%)Case 2 testing accuracy (%)Case 1 testing accuracy (%)Case 2 testing accuracy (%)

598.7581.6791.8851.67
799.5886.4694.1758.33
999.5886.6794.7959.17
1199.7987.0894.7958.96