Using Vehicle Interior Noise Classification for Monitoring Urban Rail Transit Infrastructure

Using Vehicle Interior Noise Classification for Monitoring Urban Rail Transit Infrastructure

This study developed a multi-classification model for vehicle interior noise from the subway system, collected on smartphones. The proposed model has the potential to be used to analyze the causes of abnormal noise using statistical methods and evaluate the effect of rail maintenance work. To this e...

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Bibliographic Details
Main Authors: Yifeng Wang, Ping Wang, Qihang Wang, Zhengxing Chen, Qing He
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
urban rail transit interior noise
smartphone sensing
xgboost classifier
railway maintenance
Online Access:https://www.mdpi.com/1424-8220/20/4/1112

Internet

https://www.mdpi.com/1424-8220/20/4/1112

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