A spectral profile multiplexed FBG sensor network with application to strain measurement in a Kevlar woven fabric

被引:0
作者
Guo, Guodong [1 ]
Hackney, Drew [1 ]
Pankow, Mark [1 ]
Peters, Kara [1 ]
机构
[1] North Carolina State Univ, Dept Mech & Aerosp Engn, Campus Box 7910, Raleigh, NC 27695 USA
来源
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2017 | 2017年 / 10168卷
关键词
fiber Bragg grating; sensor multiplexing; particle swarm optimizer; SYSTEM;
D O I
10.1117/12.2260114
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A spectral profile division multiplexed fiber Bragg grating (FBG) sensor network is described in this paper. The unique spectral profile of each sensor in the network is identified as a distinct feature to be interrogated. Spectrum overlap is allowed under working conditions. Thus, a specific wavelength window does not need to be allocated to each sensor as in a wavelength division multiplexed (WDM) network. When the sensors are serially connected in the network, the spectrum output is expressed through a truncated series. To track the wavelength shift of each sensor, the identification problem is transformed to a nonlinear optimization problem, which is then solved by a modified dynamic multi-swarm particle swarm optimizer (DMS-PSO). To demonstrate the application of the developed network, a network consisting of four FBGs was integrated into a Kevlar woven fabric, which was under a quasi-static load imposed by an impactor head. Due to the substantial radial strain in the fabric, the spectrums of different FBGs were found to overlap during the loading process. With the developed interrogating method, the overlapped spectrum would be distinguished thus the wavelength shift of each sensor can be monitored.
引用
收藏
页数:7
相关论文
共 9 条
[1]   Multiplexed Fiber Bragg Grating Interrogation System Using a Microelectromechanical Fabry-Perot Tunable Filter [J].
Allan, William R. ;
Graham, Zachary W. ;
Zayas, Jose R. ;
Roach, Dennis P. ;
Horsley, David A. .
IEEE SENSORS JOURNAL, 2009, 9 (08) :936-943
[2]   Wavelength detection in FBG sensor networks using least squares support vector regression [J].
Chen, Jing ;
Jiang, Hao ;
Liu, Tundong ;
Fu, Xiaoli .
JOURNAL OF OPTICS, 2014, 16 (04)
[3]   A review of spectrally coded multiplexing techniques for fibre grating sensor systems [J].
Childs, Paul ;
Wong, Allan C. L. ;
Yan, Binbin ;
Li, Mo ;
Peng, Gang-Ding .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2010, 21 (09)
[4]  
Eberhart R., 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science (Cat. No.95TH8079), P39, DOI 10.1109/MHS.1995.494215
[5]   Restoration of Reflection Spectra in a Serial FBG Sensor Array of a WDM/TDM Measurement System [J].
Hwang, Dusun ;
Seo, Dae-Cheol ;
Kwon, Il-Bum ;
Chung, Youngjoo .
SENSORS, 2012, 12 (09) :12836-12843
[6]  
Liang J J., 2005, Proc. SPIE, V5998, P599800
[7]   Spectral profile tracking of multiplexed fiber Bragg grating sensors [J].
Stewart, William ;
Van Hoe, Bram ;
Van Steenberge, Geert ;
Schultz, Stephen ;
Peters, Kara .
OPTICS COMMUNICATIONS, 2015, 357 :113-119
[8]   A Large Serial Time-Division Multiplexed Fiber Bragg Grating Sensor Network [J].
Wang, Yunmiao ;
Gong, Jianmin ;
Dong, Bo ;
Wang, Dorothy Y. ;
Shillig, Tyler J. ;
Wang, Anbo .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2012, 30 (17) :2751-2756
[9]   Deformation reconstruction of a smart Geogrid embedded with fiber Bragg grating sensors [J].
Wang, Zheng-fang ;
Wang, Jing ;
Sui, Qing-mei ;
Jia, Lei ;
Li, Shu-cai ;
Liang, Xun-mei ;
Lu, Shi-de .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2015, 26 (12)