Research Article

Rolling Bearing Fault Diagnosis Based on Sensitive Feature Transfer Learning and Local Maximum Margin Criterion under Variable Working Condition

Table 14

Testing accuracies obtained by OFS-TSFRS-LFDA-SVM.

sfnDTCWPTWPT
Case 1 testing accuracy (%)Case 2 testing accuracy (%)Case 3 testing accuracy (%)Case 4 testing accuracy (%)Case 1 testing accuracy (%)Case 2 testing accuracy (%)Case 3 testing accuracy (%)Case 4 testing accuracy (%)

2099.7994.5899.3885.8397.7174.7997.5072.29
3099.1798.7599.5890.6399.5866.4698.5467.50
4099.5898.9699.7997.5099.1765.6398.9676.88
5090.7966.25100.0067.0899.5864.7999.5866.46
70100.0066.67100.0073.3399.7961.4699.3867.71
90100.0072.08100.0066.8899.5859.7999.7958.54
120100.0080.42100.0083.3399.7963.7599.3861.46
140100.0089.3899.7990.8399.1764.3898.5471.25
160100.0097.2999.3883.5496.0462.5095.4266.25
18099.1788.7598.9676.4696.0462.0891.2571.04

Dimension size is 11.