A Novel Prediction Model for Car Body Vibration Acceleration Based on Correlation Analysis and Neural Networks
This paper aims to create a prediction model for car body vibration acceleration that is reliable, effective, and close to real-world conditions. Therefore, a huge amount of data on railway parameters were collected by multiple sensors, and different correlation coefficients were selected to screen...
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Main Authors: | Shubin Zheng, Qianwen Zhong, Xiaodong Chai, Xingjie Chen, Lele Peng |
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Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2018/1752070 |
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