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Fiber-Optic Sensing Devices and Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 1114

Special Issue Editor


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Guest Editor
1. Aston Institute of Photonic Technologies, College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK
2. Medical Physics Department, College of Science, University of Warith Al-Anbiyaa, Karbala, Iraq
Interests: optical fiber sensors; optical fiber; photonic sensors; fiber laser; fiber amplifier; optical sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Fiber-optic sensing has emerged as a cornerstone technology for advanced monitoring and measurement across diverse industries. By leveraging the unique properties of optical fibers, these systems enable distributed and point sensing with exceptional sensitivity, long-range capability, and immunity to electromagnetic interference. This Special Issue focuses on recent advances in fiber-optic sensing devices and integrated systems, encompassing fundamental principles, novel sensor designs, and cutting-edge interrogation techniques. It aims to highlight innovations in distributed sensing (Brillouin, Raman, and Rayleigh) as well as point (fiber Bragg gratings) and hybrid sensing approaches. Applications span structural health monitoring, energy infrastructure, environmental sensing, biomedical diagnostics, and emerging fields such as smart cities and autonomous systems. By bringing together contributions from academia and industry, this Issue seeks to provide a comprehensive perspective on the current state, challenges, and future directions of fiber-optic sensing technologies.

Dr. Hani J. Kbashi
Guest Editor

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Keywords

  • fiber-optic sensing
  • sensing devices and systems
  • Brillouin distributed sensing
  • Raman distributed sensing
  • fiber bragg gratings
  • environmental sensing
  • biophotonics
  • plasmonic optical fiber sensors
  • structural health monitoring
  • energy infrastructure

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Published Papers (1 paper)

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Research

20 pages, 20034 KB  
Article
FPN-Based Faster R-CNN for Fiber Distributed Acoustic Sensing Intrusion Detection in High-Speed Railway
by Zhiguang Lei, Zezheng Dong, Hao Xu, Xiao Xiao and Xin’an Qiu
Sensors 2026, 26(9), 2844; https://doi.org/10.3390/s26092844 - 2 May 2026
Viewed by 871
Abstract
With the rapid development of railway and intelligent transportation systems, the construction of security systems along high-speed railways has attracted more and more attention. In this paper, we propose a fiber distributed acoustic sensing (DAS) intrusion detection system to detect and identify the [...] Read more.
With the rapid development of railway and intelligent transportation systems, the construction of security systems along high-speed railways has attracted more and more attention. In this paper, we propose a fiber distributed acoustic sensing (DAS) intrusion detection system to detect and identify the intrusion events that threaten the operational safety of high-speed railways. Firstly, we use the DAS system to collect the optical fiber signals around the high-speed railway. Then we design a window to slide the optical fiber signals along the time axis to form the intensity images with the spatio-temporal signal features. After that, we propose a novel framework that integrates the feature pyramid network (FPN) and the Faster R-CNN to extract the features from the fiber signal intensity images to improve the detection rate and recognition rate of the system for high-speed railway intrusion events. Experimental results indicate that the system can identify five kinds of intrusion events. The average detection accuracy can reach 95.51%, and the F1 score of each intrusion event is above 93% on the real dataset. In addition, the system can identify the background noise interference generated by passing trains, and the detection accuracy is 95%, which can significantly reduce the false alarm rate. Full article
(This article belongs to the Special Issue Fiber-Optic Sensing Devices and Systems)
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