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Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey

IEEE Transactions on Intelligent Transportation Systems · 2014 · Vol. 16(3) · pp. 1088–1106
Joanna HodgeSimon O’KeefeMichael WeeksAnthony Moulds

Abstract

In recent years, the range of sensing technologies has expanded rapidly, whereas sensor devices have become cheaper. This has led to a rapid expansion in condition monitoring of systems, structures, vehicles, and machinery using sensors. Key factors are the recent advances in networking technologies such as wireless communication and mobile ad hoc networking coupled with the technology to integrate devices. Wireless sensor networks (WSNs) can be used for monitoring the railway infrastructure such as bridges, rail tracks, track beds, and track equipment along with vehicle health monitoring such as chassis, bogies, wheels, and wagons. Condition monitoring reduces human inspection requirements through automated monitoring, reduces maintenance through detecting faults before they escalate, and improves safety and reliability. This is vital for the development, upgrading, and expansion of railway networks. This paper surveys these wireless sensors network technology for monitoring in the railway industry for analyzing systems, structures, vehicles, and machinery. This paper focuses on practical engineering solutions, principally, which sensor devices are used and what they are used for; and the identification of sensor configurations and network topologies. It identifies their respective motivations and distinguishes their advantages and disadvantages in a comparative review.

Indoor and Outdoor Localization TechnologiesEnergy Efficient Wireless Sensor NetworksRFID technology advancementsWireless sensor networkEngineeringWirelessChassisReliability (semiconductor)Structural health monitoringCondition monitoringKey (lock)Track (disk drive)Wireless ad hoc network

Funding

  • Engineering and Physical Sciences Research Council
Citations
507
FWCI
18.30
field-weighted impact
References
142
Percentile
99%
vs. same field & year
Citations per year
References
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