A Review on Rail Defect Detection Systems Based on Wireless Sensors

Yuliang Zhao*, Zhiqiang Liu, Dong Yi, Xiaodong Yu, Xiaopeng Sha, Lianjiang Li, Hui Sun, Zhikun Zhan, Wen Jung Li*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

43 Citations (Scopus)
158 Downloads (CityUHK Scholars)

Abstract

Small defects on the rails develop fast under the continuous load of passing trains, and this may lead to train derailment and other disasters. In recent years, many types of wireless sensor systems have been developed for rail defect detection. However, there has been a lack of comprehensive reviews on the working principles, functions, and trade-offs of these wireless sensor systems. Therefore, we provide in this paper a systematic review of recent studies on wireless sensor-based rail defect detection systems from three different perspectives: sensing principles, wireless networks, and power supply. We analyzed and compared six sensing methods to discuss their detection accuracy, detectable types of defects, and their detection efficiency. For wireless networks, we analyzed and compared their application scenarios, the advantages and disadvantages of different network topologies, and the capabilities of different transmission media. From the perspective of power supply, we analyzed and compared different power supply modules in terms of installation and energy harvesting methods, and the amount of energy they can supply. Finally, we offered three suggestions that may inspire the future development of wireless sensor-based rail defect detection systems.
Original languageEnglish
Article number6409
JournalSensors
Volume22
Issue number17
Online published25 Aug 2022
DOIs
Publication statusPublished - Sept 2022

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 61873307), the Hebei Natural Science Foundation (Grant No. F2020501040, F2021203070, F2022501031), the Fundamental Research Funds for the Central Universities under Grant N2123004, the Administration of Central Funds Guiding the Local Science and Technology Development (Grant No. 206Z1702G), the HMRF-Health and Medical Research Fund under Project 17181811, in part of the TBRS-RGC Theme-based Research Scheme under Project T42-717/20-R, and CRF-Collaborative Research Fund under Project C7174-20G.

Research Keywords

  • rail defects detection
  • railway sensors
  • wireless sensing system

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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