Research Article
Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill
Table 1
Correlation coefficients between IMFs and the original signal in four cases.
| ā | IMF1 | IMF2 | IMF3 | IMF4 |
| Normal | 0.4452 | 0.5507 | 0.5020 | 0.2117 | 0.0634 | 0.1692 | 0.3012 | 0.0501 | 0.0419 | 0.1353 | 0.0801 | 0.0993 |
| Fault 1 | 0.8769 | 0.4236 | 0.1818 | 0.0940 | 0.1529 | 0.0680 | 0.0355 | 0.0023 | 0.0311 | 0.0598 | 0.0047 | 0.0110 |
| Fault 2 | 0.9929 | 0.0867 | 0.0115 | 0.0114 | 0.0629 | 0.0045 | 0.0002 | 0.0042 | 0.0446 | 0.0036 | 0.0015 | 0.0019 |
| Fault 3 | 0.9529 | 0.1038 | 0.1520 | 0.1546 | 0.1569 | 0.0253 | 0.1300 | 0.0736 | 0.0410 | 0.0206 | 0.0751 | 0.0352 |
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