Monitoring Rail Condition Based on Sound and Vibration Sensors Installed on an Operational Train

被引：1

作者：

Jensen, T. ^{[1
]}

Chauhan, S. ^{[2
]}

Haddad, K. ^{[2
]}

Song, W. ^{[2
]}

Junge, S. ^{[3
]}

机构：

[1] Banedanmark, Copenhagen, Denmark

[2] Bruel & Kjaer Sound & Vibrat Measurement AS, Naerum, Denmark

[3] Grontmij AS, Glostrup, Denmark

来源：

NOISE AND VIBRATION MITIGATION FOR RAIL TRANSPORTATION SYSTEMS | 2015年 / 126卷

关键词：

D O I：

10.1007/978-3-662-44832-8_27

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The paper presents a measurement setup capable of collecting wheel/rail contact noise and vibration signals from a passenger train. A data analysis method based on machine learning is developed for detecting events from the acquired data and classifying them according to relevant railway track components and noise phenomena. A classification rate higher than 84 % is achieved.

引用

页码：205 / 212

页数：8

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