Research Article
A Condition Monitoring Method of Hydraulic Gear Pumps Based on Multilevel Mechanism-Data Fusion
Table 9
Test results of SVC models at different fusion levels.
| Fusion level | Metrics | SVC1linear kernel | SVC2polynomial kernel | SVC3Gaussian kernel | SVC4Sigmoid kernel | SVC5Laplacian kernel | SVC6MCMK-SVC |
| Data level | Accuracy | 1.0 | 0.9375 | 1.0 | 1.0 | 1.0 | 1.0 | Precision | 1.0 | 0.875 | 1.0 | 1.0 | 1.0 | 1.0 | Recall | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | -score | 1.0 | 0.9333 | 1.0 | 1.0 | 1.0 | 1.0 |
| Feature level | Accuracy | 1.0 | 0.9375 | 1.0 | 0.9375 | 1.0 | 1.0 | Precision | 1.0 | 0.875 | 1.0 | 1.0 | 1.0 | 1.0 | Recall | 1.0 | 1.0 | 1.0 | 0.8571 | 1.0 | 1.0 | -score | 1.0 | 0.9333 | 1.0 | 0.9231 | 1.0 | 1.0 |
| Decision level | Accuracy | 0.9940 | 0.9190 | 0.9190 | 0.9440 | 0.9690 | 0.9690 | Precision | 0.9940 | 0.9273 | 0.9273 | 0.9940 | 0.9940 | 0.9940 | Recall | 0.9940 | 0.8797 | 0.8797 | 0.8797 | 0.9368 | 0.9368 | -score | 0.9940 | 0.9017 | 0.9017 | 0.9273 | 0.9632 | 0.9632 |
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