Research Article
Forecasting Urban Rail Transit Vehicle Interior Noise and Its Applications in Railway Alignment Design
Table 2
Features involved in the prediction model.
| | Collected signal | Used signal | Selected features |
| 1 | Audio signal | SPL(A) | RMS | 2 | Horizontal acceleration | Horizontal acceleration | Mean value | 3 | Vertical acceleration | Vertical acceleration | RMS | 4 | Longitudinal acceleration | Longitudinal acceleration | Variance | 5 | Pitch angular velocity | Pitch angular velocity | Standard deviation | 6 | Yaw angular velocity | Yaw angular velocity | Peak value | 7 | Roll angular velocity | Roll angular velocity | Skewness | 8 | | Pitch angular acceleration | Kurtosis | 9 | | Yaw angular acceleration | Shape factor | 10 | | Roll angular acceleration | Crest factor | 11 | | Operating velocity of trains | Clearance factor |
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