Name
Title | ||
|---|---|---|
A Mixed Filtering Approach for Track Condition Monitoring Using Accelerometers on the Axle Box and Bogie |
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TIM.2011.2170377 | IEEE T. Instrumentation and Measurement |
Keywords | Field | DocType |
mechanical stability,high-speed train,rapid transit systems,computerised instrumentation,track condition monitoring,axle bogie,high-speed train vibration,vibrations,bogie,waveband classification,mixed filtering,railway rolling stock,mixed filtering approach,railway track irregularity estimation method,filtering theory,accelerometers,condition monitoring,accelerometer,axle box,commercial track geometry measurement system,geometry,acceleration,tracking,axles,measurement system | System of measurement,Accelerometer,Condition monitoring,Acceleration,Bogie,Track geometry,Ride quality,Axle,Mathematics,Structural engineering | Journal |
Volume | Issue | ISSN |
61 | 3 | 0018-9456 |
Citations | PageRank | References |
4 | 0.60 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Seok Lee | 1 | 9 | 3.03 |
| Sung-Hoon Choi | 2 | 104 | 12.33 |
| Sang-Soo Kim | 3 | 22 | 6.25 |
| Choonsoo Park | 4 | 4 | 0.60 |
| Young Guk Kim | 5 | 4 | 0.60 |