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Real-Time Monitoring of Railway Traffic Using Fiber Bragg Grating Sensors

Authors: Corredera, Pedro; Rodríguez Barrios, Alberto; Martín-López, Sonia; Rodríguez-Plaza, M.; Andrés-Alguacil, A.; González-Herráez, Miguel;

Real-Time Monitoring of Railway Traffic Using Fiber Bragg Grating Sensors

Abstract

In this work, we present field tests concerning the application of fiber Bragg grating (FBG) sensors for the monitoring of railway traffic. The test campaigns are performed on the Spanish high-speed line Madrid-Barcelona, with different types of trains (S-102 TALGO-BOMBARDIER, S-103 SIEMENS-VELARO, and S-120 CAF). We located the FBG sensors in the rail track at 70 km from Madrid in the country side, where the trains primarily are tested during commercial operation with maximum speeds between 250-300 km/h. The FBG sensor interrogation system used allows the simultaneous monitoring of four FBG sensors at 8000 samples/s. The different position of the FBG sensors in relation with the rail can be used for different purposes such as train identification, axle counting, speed and acceleration detection, wheel imperfections monitoring, and dynamic load calculation.

This work was supported in part by Ministerio de Fomento through project MIFFO (reference FOM/3774/2007 under the Strategic Infrastructure and Transport Program, PEIT). We also acknowledge financial support from the Ministerio de Educación y Ciencia through projects TEC2006- 09990-C02-01 and TEC2006-09990-C02-02, and the support from the Comunidad Autónoma de Madrid through project FACTOTEM2_CM (S2009/ESP- 1781).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green