Research Article
A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM
Table 5
The identification result of SEED data set.
| Method | Training samples | Test samples | | | Cost time (s) | Test error (%) |
| ACROA-SVM1 | 159 | 51 | 16356.01 | 4.31 | 238.06 | 0 | ACROA-SVM2 | 106 | 34 | 186.05 | 4.85 | 135.07 | 0 | GA-SVM1 | 159 | 51 | 180.1 | 1.01 | 549.44 | 3.92 | GA-SVM2 | 106 | 34 | 180.28 | 2.27 | 484 | 0 | PSO-SVM1 | 159 | 51 | 185.26 | 1.35 | 472.11 | 0 | PSO-SVM2 | 106 | 34 | 178.23 | 1.89 | 383.45 | 0 | SVM1 | 159 | 51 | 200 | 1 | / | 3.92 | SVM2 | 106 | 34 | 200 | 1 | / | 0 |
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