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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