Fiber Bragg Grating sensors for railway systems

Tam, Hwa-Yaw, Liu, Shun-yee, Ho, Siu Lau, & Ho, Tin Kin (2011) Fiber Bragg Grating sensors for railway systems. In Cusano, Andrea, Cutolo, Antonello, & Albert, Jacques (Eds.) Fiber Bragg Grating Sensors : Recent Advancements, Industrial Applications and Market Exploitation. Bentham Science Publishers, Oak Park, IL, pp. 197-217.

This is the latest version of this eprint.

[img] Draft Version (PDF 4MB)
Administrators only | Request a copy from author

View at publisher


Fiber Bragg grating (FBG) sensor technology has been attracting substantial industrial interests for the last decade. FBG sensors have seen increasing acceptance and widespread use for structural sensing and health monitoring applications in composites, civil engineering, aerospace, marine, oil & gas, and smart structures. One transportation system that has been benefitted tremendously from this technology is railways, where it is of the utmost importance to understand the structural and operating conditions of rails as well as that of freight and passenger service cars to ensure safe and reliable operation. Fiberoptic sensors, mostly in the form of FBGs, offer various important characteristics, such as EMI/RFI immunity, multiplexing capability, and very long-range interrogation (up to 230 km between FBGs and measurement unit), over the conventional electrical sensors for the distinctive operational conditions in railways. FBG sensors are unique from other types of fiber-optic sensors as the measured information is wavelength-encoded, which provides self-referencing and renders their signals less susceptible to intensity fluctuations. In addition, FBGs are reflective sensors that can be interrogated from either end, providing redundancy to FBG sensing networks. These two unique features are particularly important for the railway industry where safe and reliable operations are the major concerns. Furthermore, FBGs are very versatile and transducers based on FBGs can be designed to measure a wide range of parameters such as acceleration and inclination. Consequently, a single interrogator can deal with a large number of FBG sensors to measure a multitude of parameters at different locations that spans over a large area.

Impact and interest:

1 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 47472
Item Type: Book Chapter
Additional URLs:
Keywords: FBG Sensor, Condition Monitoring, Railway Engineering
DOI: 10.2174/978160805084011101010197
ISBN: 9781608050840
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Photonics and Electro-Optical Engineering (excl. Communications) (090606)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2011 Bentham Science Publishers
Deposited On: 05 Dec 2011 02:17
Last Modified: 19 Oct 2015 07:11

Available Versions of this Item

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page