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
Link To Document :
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