Research Article
Application of Feature Fusion Using Coaxial Vibration Signal for Diagnosis of Rolling Element Bearings
Table 7
Results of MKL-SVM and SVM.
| No. | Data | Method | Label | Training data | Testing data | Accuracy | Running time (s) |
| 1 | Coaxial signals | MKL-SVM | 1–8 | 560 2 | 240 2 | 97.50% (235/240) | 170.96 | 2 | Coaxial signals | SVM | 1–8 | 560 2 | 240 2 | 95.00% (228/240) | 0.22 | 3 | Coaxial signals | GA-SVM | 1–8 | 560 2 | 240 2 | 95.83% (230/240) | 84.79 | 4 | Coaxial signals | PSO-SVM | 1–8 | 560 2 | 240 2 | 96.67% (232/240) | 367.18 |
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