The utilization of ultrasonic guided wave technology for detecting cracks in railway tracks involves analyzing echo signals produced by the interaction of cracks with guided wave modes to achieve precise crack localization, which is extremely important in a real-time railway crack robotic detection system. Addressing the challenge of selecting the optimal detection mode for cracks in various regions of railway tracks, this paper presents a method for optimal crack detection mode selection. This method is based on the sensitivity of guided wave modes to cracks. By examining the frequency dispersion characteristics and mode shapes of guided wave modes, we establish indicators for crack zone energy and crack reflection intensity. Our focus is on the railhead of the railway track, selecting guided wave modes characterized by specific cracks for detection purposes. Experimental findings validate the accuracy of our proposed mode selection method in detecting cracks in railway tracks. This research not only enhances crack detection but also lays the groundwork for exploring advanced detection and localization techniques for cracks in railway tracks.
Enhancing crack detection in railway tracks through AI-optimized ultrasonic guided wave modes
2024
Miscellaneous
Electronic Resource
English
Enhancing crack detection in railway tracks through AI-optimized ultrasonic guided wave modes
DOAJ | 2024
|Ultrasonic Guided Wave Monitoring of Railroad Tracks
Trans Tech Publications | 2012
|Crack Detection on Railway Tracks with Animal Disturbance Alert
Springer Verlag | 2024
|British Library Conference Proceedings | 2005
|Ultrasonic guided wave detection of point rail damage of high-speed railway turnout
SAGE Publications | 2025
|