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Railway Vehicle Wheel Flat Detection with Multiple Records Using Spectral Kurtosis Analysis
- Source :
- Applied Sciences, Vol 11, Iss 4002, p 4002 (2021), Applied Sciences, Volume 11, Issue 9
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- The gradual deterioration of train wheels can increase the risk of failure and lead to a higher rate of track deterioration, resulting in less reliable railway systems with higher maintenance costs. Early detection of potential wheel damages allows railway infrastructure managers to control railway operators, leading to lower infrastructure maintenance costs. This study focuses on identifying the type of sensors that can be adopted in a wayside monitoring system for wheel flat detection, as well as their optimal position. The study relies on a 3D numerical simulation of the train-track dynamic response to the presence of wheel flats. The shear and acceleration measurement points were defined in order to examine the sensitivity of the layout schemes not only to the type of sensors (strain gauge and accelerometer) but also to the position where they are installed. By considering the shear and accelerations evaluated in 19 positions of the track as inputs, the wheel flat was identified by the envelope spectrum approach using spectral kurtosis analysis. The influence of the type of sensors and their location on the accuracy of the wheel flat detection system is analyzed. Two types of trains were considered, namely the Alfa Pendular passenger vehicle and a freight wagon.
- Subjects :
- Technology
Computer science
QH301-705.5
QC1-999
020101 civil engineering
railway vehicles
02 engineering and technology
Accelerometer
Track (rail transport)
Automotive engineering
0201 civil engineering
wheel flat detection
Acceleration
0203 mechanical engineering
wayside condition monitoring systems
General Materials Science
Sensitivity (control systems)
Biology (General)
multisensor array
Instrumentation
QD1-999
Strain gauge
Fluid Flow and Transfer Processes
Computer simulation
Process Chemistry and Technology
Physics
General Engineering
Engineering (General). Civil engineering (General)
Computer Science Applications
Chemistry
020303 mechanical engineering & transports
spectral kurtosis analysis
Train
TA1-2040
Envelope (motion)
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 11
- Issue :
- 4002
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....8c56b845410c8702df5a53503295d3d4