Research Article
A Hybrid Approach for Fault Diagnosis of Railway Rolling Bearings Using STWD-EMD-GA-LSSVM
Table 1
A portion of the bearing operational data employed for training.
| ā | | | | | | Fault status | Fault vector |
| 1 | 0.9766 | 0.1272 | 0.0991 | 0.122 | 0.0737 | Normal signal | 1 | 2 | 0.9596 | 0.148 | 0.077 | 0.209 | 0.0873 | Normal signal | 1 | 3 | 0.9562 | 0.1429 | 0.0679 | 0.2365 | 0.0678 | Normal signal | 1 | 4 | 0.8743 | 0.4503 | 0.113 | 0.0959 | 0.1043 | Inner ring fault signal | 2 | 5 | 0.8929 | 0.4201 | 0.0986 | 0.1107 | 0.0649 | Inner ring fault signal | 2 | 6 | 0.8792 | 0.4137 | 0.188 | 0.1122 | 0.0892 | Inner ring fault signal | 2 | 7 | 0.9711 | 0.1659 | 0.0222 | 0.0346 | 0.1667 | Outer ring fault signal | 3 | 8 | 0.9631 | 0.1525 | 0.1587 | 0.0216 | 0.1532 | Outer ring fault signal | 3 | 9 | 0.951 | 0.2013 | 0.2162 | 0.0186 | 0.0895 | Outer ring fault signal | 3 |
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