Research Article
The Fault Diagnosis of Rolling Bearing Based on Variational Mode Decomposition and Iterative Random Forest
Table 1
The importance of eigenvalues under the VMD.
| Characteristic variables | Mean decrease accuracy | Mean decrease gini |
| Mean | 36.1008 | 69.7278 | Std | 25.8246 | 53.9403 | Median | 19.7956 | 11.3099 | Trimmed | 23.7853 | 33.9644 | Mad | 23.4675 | 47.0163 | Min | 20.5300 | 52.2737 | Max | 21.9004 | 46.3639 | Range | 20.2021 | 50.0970 | Skew | 20.9814 | 20.4321 | Kurtosis | 40.1319 | 81.4969 | Se | 27.2219 | 55.9879 | CV | 36.4835 | 69.7447 | CSS | 24.2071 | 51.2260 | Volatility index | 9.7392 | 7.0719 | Energy entropy | 50.6705 | 115.4719 | Information entropy | 25.2835 | 48.0819 |
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