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Optical Fiber Sensors for Monitoring Railway Infrastructures: A Review towards Smart Concept
- Source :
- Symmetry, Vol 13, Iss 2251, p 2251 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Railway infrastructures have played a critical role to ensure the continuity of goods and passenger transportation in China. Under extreme loading and environmental conditions, railway structures are vulnerable to deterioration and failure, leading to the interruption of the whole transportation system. Several techniques have been used for the health monitoring of railway structures. Optical fiber sensors are the widely recognized technique due to their inherent advantages such as high sensitivity, anti-electromagnetic interference, light weight, tiny size, corrosion resistance, and easy integration and network configuration. This paper provides a state-of-the-art of optical fiber sensing technologies and their practical application in railway infrastructures. In addition, the strain transfer analysis of optical fiber sensors is described for parameter reflection. A smart concept for artificial intelligence contribution is also declared. Finally, existing and future prospects on smart concept-based optical fiber sensors for railway infrastructure are discussed. The study can provide useful guidance to understand the problems in artificial intelligence which contributed to the Structural Health Monitoring system of railway structures.
- Subjects :
- Optical fiber
Reflection (computer programming)
Physics and Astronomy (miscellaneous)
structural health monitoring
Computer science
General Mathematics
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Network configuration
Optical fiber sensing
law.invention
Interference (communication)
Chemistry (miscellaneous)
law
railway infrastructure
industrialized optical fiber sensors
Computer Science (miscellaneous)
Systems engineering
QA1-939
smart concept
Structural health monitoring
Sensitivity (control systems)
strain transfer analysis
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 20738994
- Volume :
- 13
- Issue :
- 2251
- Database :
- OpenAIRE
- Journal :
- Symmetry
- Accession number :
- edsair.doi.dedup.....32786c34e31c2b8cacd0853874a66985