Research Article
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% |
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