DocumentCode
1364185
Title
A Mixed Filtering Approach for Track Condition Monitoring Using Accelerometers on the Axle Box and Bogie
Author
Lee, Jun Seok ; Choi, Sunghoon ; Kim, Sang-Soo ; Park, Choonsoo ; Kim, Young Guk
Author_Institution
Korea Railroad Res. Inst., Univ. of Sci. & Technol., Uiwang, South Korea
Volume
61
Issue
3
fYear
2012
fDate
3/1/2012 12:00:00 AM
Firstpage
749
Lastpage
758
Abstract
This paper describes a method of estimating irregularities in railway tracks using acceleration data measured from high-speed trains. Track irregularities are the main causes of the vibration of high-speed trains and thus should be carefully monitored to maintain the stability and ride quality of the trains. A mixed filtering approach is proposed for stable displacement estimation and waveband classification of the irregularities in the measured acceleration. Accelerometers are mounted on the axle box and the bogie of a high-speed train to measure the acceleration in the lateral and vertical directions. The estimated results are compared with those of a commercial track geometry measurement system. Finally, the performance of the proposed approach and the relationship between the mounted location of the accelerometers and the estimated track irregularities are discussed.
Keywords
accelerometers; computerised instrumentation; condition monitoring; filtering theory; geometry; mechanical stability; railway rolling stock; rapid transit systems; vibrations; accelerometers; axle bogie; axle box; commercial track geometry measurement system; high-speed train vibration; mixed filtering approach; railway track irregularity estimation method; track condition monitoring; waveband classification; Acceleration; Accelerometers; Axles; Displacement measurement; Geometry; Measurement by laser beam; Tracking; Accelerometer; axle box; bogie; high-speed train; mixed filtering; track condition monitoring;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2011.2170377
Filename
6062677
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