Please use this identifier to cite or link to this item:
Title: Rail crack monitoring using fiber optic based ultrasonic guided wave detection technology
Authors: Wang, J 
Yuan, M 
Ni, YQ 
Issue Date: 2017
Publisher: DEStech Publications
Source: In FK Chang & F Kopsaftopoulos (Eds.), Structural Health Monitoring 2017 Real-Time Material State Awareness and Data-Driven Safety Assurance ; Proceedings of the Eleventh International Workshop on Structural Health Monitoring, September 12-14, 2017, 2017, v. 1, p. 1763-1770 . Lancaster, PA: DEStech Publications, 2017. How to cite?
Abstract: Rail health conditions are among the top concerns in the area of train safety. In this study, a fiber optic monitoring system is developed to achieve ultrasonic guided wave based rail crack detection. Although fiber Bragg grating (FBG) sensor is a wellknown suitable candidate for long-distance monitoring of rail, the sampling speed of commercially available optic spectrum analyzers limits their application to ultrasonic wave detection. A high-speed FBG interferometric interrogation module is developed, which constitutes the rail monitoring system in conjunction with an active wave generation module and a sensing network. To find appropriate excitation frequency and FBG dimension for ultrasonic guided wave generation and reception, dispersion analysis of rail, a waveguide with complex cross-section, is conducted to guide subsequent design of damage detection experiment. The system and the crack detection technique are then implemented on a long full-scale rail segment, by deploying PZT (lead zirconate titanate) actuator and FBG sensor in pitch-catch and pulse-echo configurations. Artificial cracks in different lengths are introduced to the rail. Frequency-domain analysis of the rail responses is used to identify the damageinduced discrimination after direct observation of time-domain signals. Power spectral density analysis of the purified signals, assisted by discrete wavelet filtering, leads to the graphic presentation of rail integrity.
ISBN: 9781605953304
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of May 22, 2020

Page view(s)

Last Week
Last month
Citations as of Jun 1, 2020

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.