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Volume 23
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10.3390/s23104627
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Review

Detection of Rail Defects Using NDT Methods

by
Longhui Xiong
1,2,
Guoqing Jing
3,
Jingru Wang
2,3,*,
Xiubo Liu
2 and
Yuhua Zhang
2
1
Postgraduate Department, China Academy of Railway Sciences, Beijing 100081, China
2
Infrastructure Inspection Research Institute, China Academy of Railway Sciences Co., Ltd., Beijing 100081, China
3
School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Sensors 2023, 23(10), 4627; https://doi.org/10.3390/s23104627
Submission received: 21 February 2023 / Revised: 6 April 2023 / Accepted: 29 April 2023 / Published: 10 May 2023
(This article belongs to the Section Intelligent Sensors)
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Abstract

The rapid development of high-speed and heavy-haul railways caused rapid rail defects and sudden failure. This requires more advanced rail inspection, i.e., real-time accurate identification and evaluation for rail defects. However, existing applications cannot meet future demand. In this paper, different types of rail defects are introduced. Afterwards, methods that have the potential to achieve rapid accurate detection and evaluation of rail defects are summarized, including ultrasonic testing, electromagnetic testing, visual testing, and some integrated methods in the field. Finally, advice on rail inspection is given, such as synchronously utilizing the ultrasonic testing, magnetic flux leakage, and visual testing for multi-part detection. Specifically, synchronously using the magnetic flux leakage and visual testing technologies can detect and evaluate surface and subsurface defects, and UT is used to detect internal defects in the rail. This will obtain full rail information, to prevent sudden failure, then ensure train ride safety.
Keywords: rail defect; comprehensive detection; NDT; integrated system; in-service; high-speed rail defect; comprehensive detection; NDT; integrated system; in-service; high-speed

Share and Cite

MDPI and ACS Style

Xiong, L.; Jing, G.; Wang, J.; Liu, X.; Zhang, Y. Detection of Rail Defects Using NDT Methods. Sensors 2023, 23, 4627. https://doi.org/10.3390/s23104627

AMA Style

Xiong L, Jing G, Wang J, Liu X, Zhang Y. Detection of Rail Defects Using NDT Methods. Sensors. 2023; 23(10):4627. https://doi.org/10.3390/s23104627

Chicago/Turabian Style

Xiong, Longhui, Guoqing Jing, Jingru Wang, Xiubo Liu, and Yuhua Zhang. 2023. "Detection of Rail Defects Using NDT Methods" Sensors 23, no. 10: 4627. https://doi.org/10.3390/s23104627

APA Style

Xiong, L., Jing, G., Wang, J., Liu, X., & Zhang, Y. (2023). Detection of Rail Defects Using NDT Methods. Sensors, 23(10), 4627. https://doi.org/10.3390/s23104627

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