[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.