Research Article
A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System
Table 3
Diagnosis accuracy of the proposed hybrid framework with different kernel functions.
| | Kernel function | Diagnosis accuracy | | | | | | | | | Total |
| | Polynomial kernel | 79% | 97% | 96% | 85% | 94% | 98% | 99% | 81% | 91.51% | | Sigmoid kernel | 92% | 94% | 94% | 69% | 71% | 96% | 99% | 91% | 88.25% | | Gaussian RBF kernel | 81% | 97% | 95% | 86% | 92% | 99% | 100% | 84% | 91.76% | | ML-kernel () | 81% | 97% | 95% | 86% | 92% | 99% | 100% | 84% | 91.76% | | ML-kernel () | 92% | 100% | 96% | 94% | 98% | 99% | 100% | 95% | 96.75% |
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