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Experimental research on crack detection in pipes based on Fiber Bragg grating
Author(s): Lin Cai; Qin Wei; Zhaoxiang Yu; Ming Lu; Xiaowei Li
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Paper Abstract

Crack is one of the primary faults in pipes, and its detection is a significant measure to ensure the safety of pipes. The feasibility of circumferential crack detection in pipes on the basis of fiber Bragg grating (FBG) detection technology is discussed through experimental research. Crack is formed on the surface of a metal pipe, the circumferential length of crack is one index of the damage degree. In the experiments, both electronic vibration sensor and FBG strain sensors are used to collect response signals of impulse excitation in different damage degrees. Furthermore, the characteristics of damage detection are analysed in both frequency domain and time domain. First, the natural frequencies are compared between practical and simulated results in different damage degrees of pipes; second, the multi-fractal detrended fluctuation analysis (MFDFA) is applied to acquire the singular values α as the characteristic parameter. The experimental results indicate that FBG strain sensors can perceive the impulse response of the pipe and change in different damage degrees effectively, like the vibration sensor. And both the natural frequency and the singular value are sensitive to increasing length of crack, they are able to distinguish different degrees of crack on the pipe.

Paper Details

Date Published: 7 November 2017
PDF: 7 pages
Proc. SPIE 10465, Fifth International Conference on Wireless and Optical Communications, 104650C (7 November 2017); doi: 10.1117/12.2287712
Show Author Affiliations
Lin Cai, Wuhan Univ. of Technology (China)
Qin Wei, Wuhan Univ. of Technology (China)
Zhaoxiang Yu, Wuhan Univ. of Technology (China)
Ming Lu, Wuhan Univ. of Technology (China)
Xiaowei Li, Wuhan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10465:
Fifth International Conference on Wireless and Optical Communications
Maode Ma; Alexander Balinsky, Editor(s)

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