Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Перспективы мониторинга состояния геометрии железнодорожного пути с помощью эксплуатируемых железнодорожных транспортных средств
Edward Stewart, Clive Roberts, Paul Weston, Graeme Yeo
2015-04-30

condition monitoringin-service railway vehiclesrailway track geometryride quality monitoringtrack geometry degradation
This paper presents a view of the current state of monitoring track geometry condition from in-service vehicles. It considers technology used to provide condition monitoring; some issues of processing and the determination of location; how things have evolved over the past decade; and what is being, or could/should be done in future research. Monitoring railway track geometry from an in-service vehicle is an attractive proposition that has become a reality in the past decade. However, this is only the beginning. Seeing the same track over and over again provides an opportunity for observing track geometry degradation that can potentially be used to inform maintenance decisions. Furthermore, it is possible to extend the use of track condition information to identify if maintenance is effective, and to monitor the degradation of individual faults such as dipped joints. There are full unattended track geometry measurement systems running on in-service vehicles in the UK and elsewhere around the world, feeding their geometry measurements into large databases. These data can be retrieved, but little is currently done with the data other than the generation of reports of track geometry that exceeds predefined thresholds. There are examples of simpler systems that measure some track geometry parameters more or less directly and accurately, but forego parameters such as gauge. Additionally, there are experimental systems that use mathematics and models to infer track geometry using data from sensors placed on an in-service vehicle. Finally, there are systems that do not claim to measure track geometry, but monitor some other quantity such as ride quality or bogie acceleration to infer poor track geometry without explicitly measuring it.
1
Although large databases of in-service geometry measurements exist, current use is largely limited to reports identifying geometry exceeding predefined thresholds.
2
Existing approaches range from direct measurement of selected geometry parameters to model-based inference and indirect detection through ride quality or bogie acceleration, with trade-offs such as omitted gauge measurements.
3
Monitoring railway track geometry from in-service vehicles has become operationally feasible during the past decade, including fully unattended systems.
4
Repeated measurements of the same track can reveal geometry degradation over time and potentially support maintenance decision-making.
5
Track-condition data could assess maintenance effectiveness and monitor degradation of individual faults, such as dipped joints.

railway track geometry monitored from in-service railway vehicles

condition monitoring, degradation assessment, fault identification, and maintenance-effectiveness evaluation of railway track geometry

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Publication Date
2015-04-30
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Authors
Edward Stewart
Clive Roberts
Paul Weston
Graeme Yeo
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