Research Article
Rolling Bearing Fault Diagnosis Based on Sensitive Feature Transfer Learning and Local Maximum Margin Criterion under Variable Working Condition
Figure 25
The diagnosis results obtained by OFS-TSFRS-LMMC-SVM with different number of dimension sizes for LMMC. The LMMC (5) represents that the number of dimension size is 5.
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