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State-of-the-Art Review of Railway Track Resilience Monitoring

Department of Civil Engineering, The University of Birmingham, Birmingham B15 2TT, UK
Birmingham Centre for Railway Research and Education, The University of Birmingham, Birmingham B15 2TT, UK
EVOLEO Technologies Lda., Porto 4425-656, Portugal
Author to whom correspondence should be addressed.
Received: 29 December 2017 / Revised: 20 January 2018 / Accepted: 26 January 2018 / Published: 28 January 2018
(This article belongs to the Special Issue Railway Infrastructure Engineering)
In recent years, railway systems have played a significant role in transportation systems due to the demand increase in conveying both cargo and passengers. Due to the harsh environments and severe loading conditions, caused by the traffic growth, heavier axles and vehicles and increase in speed, railway tracks are at risk of degradation and failure. Condition monitoring has been widely used to support the health assessment of civil engineering structures and infrastructures. In this context, it was adopted as a powerful tool for an objective assessment of the railway track behaviour by enabling real-time data collection, inspection and detection of structural degradation. According to relevant literature, a number of sensors can be used to monitor track behaviour during the train passing under harsh environments. This paper presents a review of sensors used for structural monitoring of railway track infrastructure, as well as their application to sense the performance of different track components during extreme events. The insight into track monitoring for railways serving traffic with extreme features will not only improve the track inspection and damage detection but also enable a predictive track maintenance regime in order to assist the decision-making process towards more cost-effective management in the railway industry. View Full-Text
Keywords: railway track; condition monitoring; wired sensor; wireless sensor network (WSN) railway track; condition monitoring; wired sensor; wireless sensor network (WSN)
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MDPI and ACS Style

Ngamkhanong, C.; Kaewunruen, S.; Costa, B.J.A. State-of-the-Art Review of Railway Track Resilience Monitoring. Infrastructures 2018, 3, 3.

AMA Style

Ngamkhanong C, Kaewunruen S, Costa BJA. State-of-the-Art Review of Railway Track Resilience Monitoring. Infrastructures. 2018; 3(1):3.

Chicago/Turabian Style

Ngamkhanong, Chayut, Sakdirat Kaewunruen, and Bruno J.A. Costa. 2018. "State-of-the-Art Review of Railway Track Resilience Monitoring" Infrastructures 3, no. 1: 3.

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