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Sensors 2016, 16(10), 1770; doi:10.3390/s16101770

Development of an FBG Sensor Array for Multi-Impact Source Localization on CFRP Structures

School of Control Science and Engineering, Shandong University, Jinan 250061, China
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 23 August 2016 / Revised: 11 October 2016 / Accepted: 13 October 2016 / Published: 24 October 2016
(This article belongs to the Section Physical Sensors)
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Abstract

We proposed and studied an impact detection system based on a fiber Bragg grating (FBG) sensor array and multiple signal classification (MUSIC) algorithm to determine the location and the number of low velocity impacts on a carbon fiber-reinforced polymer (CFRP) plate. A FBG linear array, consisting of seven FBG sensors, was used for detecting the ultrasonic signals from impacts. The edge-filter method was employed for signal demodulation. Shannon wavelet transform was used to extract narrow band signals from the impacts. The Gerschgorin disc theorem was used for estimating the number of impacts. We used the MUSIC algorithm to obtain the coordinates of multi-impacts. The impact detection system was tested on a 500 mm × 500 mm × 1.5 mm CFRP plate. The results show that the maximum error and average error of the multi-impacts’ localization are 9.2 mm and 7.4 mm, respectively. View Full-Text
Keywords: fiber Bragg grating; multi-impact localization; MUSIC algorithm; Shannon wavelet transform fiber Bragg grating; multi-impact localization; MUSIC algorithm; Shannon wavelet transform
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Jiang, M.; Sai, Y.; Geng, X.; Sui, Q.; Liu, X.; Jia, L. Development of an FBG Sensor Array for Multi-Impact Source Localization on CFRP Structures. Sensors 2016, 16, 1770.

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