Fault Diagnosis System of Induction Motors Based on Multiscale Entropy and Support Vector Machine with Mutual Information Algorithm

Table 6

The second-fold test accuracy of the proposed method.

Dataset (160)		Correctly classified	Wrongly classified	Classification accuracy
Training set	Test set
Set-1 (80)	Set-2 (80)	74	6	92.50%
Set-2 (80)	Set-1 (80)	76	4	95.00%
Average classification accuracy (all ten features)				93.75%
Set-1 (80)	Set-2 (80)	77	3	96.25%
Set-2 (80)	Set-1 (80)	77	3	96.25%
Average classification accuracy (the first five features using MI)				96.25%