Research Article
A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM
Table 4
The identification result of THYROID data set.
| Method | Training samples | Test samples | | | Cost time (s) | Test error (%) |
| ACROA-SVM1 | 162 | 53 | 214.09 | 4.91 | 187.51 | 7.55 | ACROA-SVM2 | 142 | 43 | 226.97 | 1.06 | 91.814 | 4.65 | GA-SVM1 | 162 | 53 | 245.62 | 2.98 | 1239.72 | 11.33 | GA-SVM2 | 142 | 43 | 224.77 | 2.62 | 407.33 | 9.3 | PSO-SVM1 | 162 | 53 | 248.73 | 3.01 | 1189.83 | 11.33 | PSO-SVM2 | 142 | 43 | 226.18 | 2.75 | 397.25 | 9.3 | SVM1 | 162 | 53 | 200 | 1 | / | 18.87 | SVM2 | 142 | 43 | 200 | 1 | / | 18.61 |
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