基于多主体协作技术的光纤Bragg光栅传感器网络自修复实现

针对光纤布拉格光栅(FBG)传感器监测飞机机翼盒段试验件上的静态载荷，对多主体协作技术实现结构健康监测中光纤Bragg 光栅传感器网络的自修复性进行研究。当某个主体的光纤Bragg 光栅传感器发生故障时，首先，传感主体依据采集到的传感器信号利用支持向量回归机算法对外部载荷位置进行预测，然后系统协作主体对两个主体的预测结果进行协作，共同对故障传感器信号进行修复，最终获得损伤位置的识别结果。研究表明：多主体协作之后的损伤位置平均识别精度比单独采用任何一个主体的平均识别精度都高，可以对失效传感器信号进行一定的补偿、修复。

Abstract

In view of the Fiber Bragg Grating (FBG) sensor network monitoring the static loading on the aircraft wing box test piece, self-repairability of the FBG structural health monitoring system based on multi-agent technology is studied. When partial sensors signal can′t be acquired in certain agent, firstly, the support vector regression algorithm is used to predict the external loading damage position with the acquired sensor signals in each agent, and then the cooperative agent is used to cooperate each agent predicting result, so as to compensate the invalid sensor signals, thus the final predicting results are obtained for the structural health monitoring system. The research results indicate that the average predicting accuracy of the external loading position by the multi-agent technique is higher than that of any one agent, the invalid sensor signals can be compensated to some extent by the multi-agent technology.

参考文献

[1] Alan Baker, Nik Rajic, Claire Davis. Towards a practical structural health monitoring technology for patched cracks in aircraft structure[J]. Compos Part A：Appl Sci Manufac, 2009, 40(9): 1340-1352.

[2] 田石柱, 温科, 王大鹏. 基于长标距光纤光栅传感器的钢梁损伤定位研究[J]. 激光与光电子进展, 2013, 50(4): 040603.

Tian Shizhu, Wen Ke, Wang Dapeng. Study on damage location of steel beam based on long-gage fiber grating sensor [J]Laser & Optoelectronics Progress, 2013, 50(4): 040603.

[3] Pengchun Peng, Junbo Wang, Kuanyan Huang. Reliable fiber sensor system with star-ring-bus architecture[J]. Sensors, 2010, 10(5): 4194-4205.

[4] Andrew M Gillooly, Lin Zhang, Ian Bennion. High survivability fiber sensor network for smart structures[C]. SPIE, 2004, 5579: 99-106.

[5] Eduardo López Izquierdo, Paul Urquhart, Manuel López-Amo. Protection architectures for WDM optical fibre bus sensor arrays[J]. J Eng Sci J Int, 2007, 1(2): 1-18.

[6] Pu Wei, Xiaohan Sun. A novel FBG sensor network with high survivability[C]. SPIE, 2006, 6387: 63870B.

[7] Hongxia zhang, Shu Wang, Guoqiang Wen, et al.. Large-scale self-healing architectures for fiber Bragg grating sensor network[C]. The 9th International Conference on Optical Communications and Networks (ICOCN2010), 2010.

[8] Shenfang Yuan, Xiaosong Lai, Xia Zhao, et al.. Distributed structural health monitoring system based on smart wireless sensor and multi-agent technology[J]. Smart Mater Struct, 2006, 15(1): 1-8.

[9] J Zhou, Z Zhou, D Zhang. Study on strain transfer characteristics of fiber Bragg grating sensors[J]. Journal of Intelligent Material Systems and Structures, 2010, 21(11): 1117-1122.

[10] Mikhail Prokopenko, Peter Wang, Mark Foreman, et al.. On connectivity of reconfigurable impact networks in ageless aerospace vehicles[J]. Robotics and Autonomous Systems, 2005, 53(1): 36-58.

[11] Xia Zhao, Shenfang Yuan, Zhenhua Yu, et al.. Designing strategy for multi-agent system based large structural health monitoring[J]. Smart Mater Struct, 2008, 34(2): 1154-1168.

[12] 王春龙, 刘建国, 赵南京, 等. 基于支持向量机回归的水体重金属激光诱导击穿光谱定量分析研究[J]. 光学学报, 2013, 33(3): 0330002.

Wang Chunlong, Liu Jianguo, Zhao Nanjing, et al.. Quantitative analysis of laser-induced breakdown spectroscopy of heavy metals in water based on support-vector machine regression[J]. Acta Optica Sinica, 2013, 33(3): 0330002.

[13] 李刚, 赵香. 基于遗传算法的最小平方支持向量机[J]. 信阳师范学院学报(自然科学版), 2009, 22(1): 131-141.

Li Gang, Zhao Xiang. The least square support vector machine (LS-SVM ) based on genetic algorithm[J]. Journal of Xinyang Normal University (Natural Science Edition), 2009, 22(1): 131-141.

[14] 芦吉云, 梁大开, 张晓丽, 等. 基于支持向量回归机的机翼盒段结构健康监测研究[J]. 仪器仪表学报, 2009, 30(3): 486-490.

Lu Jiyun, Liang Dakai, Zhang Xiaoli, et al.. Research on structural health monitoring for wing box based on support vector regression machine[J]. Chinese Journal of Scientific Instrument, 2009, 30(3): 486-490.

[15] 武杰, 韩跃平. 基于小波变换的X 射线光栅成像多信息融合技术[J]. 激光与光电子进展, 2012, 49(11): 111003.

Wu Jie, Han Yueping. Information fusion technology of X-Ray grating imaging based on the wavelet transform[J]. Laser & Optoelectronics Progress, 2012, 49(11): 111003.

张晓丽, 张斌, 梁大开, 余本海, 李冉, 曾捷, 范春凤. 基于多主体协作技术的光纤Bragg光栅传感器网络自修复实现[J]. 激光与光电子学进展, 2014, 51(6): 060605. Zhang Xiaoli, Zhang Bin, Liang Dakai, Yu Benhai, Li Ran, Zeng Jie, Fan Chunfeng. Self-Repairing of the Fiber Bragg Grating Sensors Based on the Multi-Agent Cooperation Technology[J]. Laser & Optoelectronics Progress, 2014, 51(6): 060605.

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