Wang et al., 2020 - Google Patents
Forecasting urban rail transit vehicle interior noise and its applications in railway alignment designWang et al., 2020
View PDF- Document ID
- 17315184878584382645
- Author
- Wang Y
- Wang P
- Li Z
- Chen Z
- He Q
- Publication year
- Publication venue
- Journal of advanced transportation
External Links
Snippet
In this study, a data‐driven interior noise prediction model is developed for vehicles on an urban rail transit system based on random forest (RF) and a vehicle/track coupling dynamic model (VTCDM). The proposed prediction model can evaluate and optimize the …
- 238000007637 random forest analysis 0 abstract description 46
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Testing of vehicles of wheeled or endless-tracked vehicles
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