Research Article
A Morphological Filtering Method Based on Particle Swarm Optimization for Railway Vehicle Bearing Fault Diagnosis
Table 4
The kurtosis values of collected operations of the simulated signal.
| | Operator | Kurtosis |
| | Dilation | 13.63 | | Morphological gradient (MG) | 14.64 | | Open | 2.98 | | Difference filter (DIF) | 14.74 | | White top-hat transform (WTH) | 28.88 | | Close-open (CO) | 9.68 | | Combination morphological filter (CMF) | 3.95 | | Combination morphological filter hat (CMFH) | 19.49 | | Erosion | 4.59 | | Close | 13.45 | | Close and open average (AC&O) | 4.97 | | Black top-hat transform (BTH) | 29.79 | | Combination of WTH and positive BTH (CWTH&PBTH) | 11.38 | | Open-close (OC) | 2.78 | | CO and OC gradient (GCO&OC) | 15.03 | | Morphology gradient product operation (MGPO) | 22.02 |
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