Optics and Precision Engineering, Volume. 22, Issue 11, 2894(2014)
Identification system of composite material damage based on FBG sensor
[2] [2] QI G. Wavelet-based AE characterization of composite materials [J].NDT&E International, 2000, 33:133-144.
[3] [3] LOUTAS T H, KOSTOPOULOS V, RAMIREZ-JIMENEZ C, et al.. Damage evolution in center-holed glass/polyester composites under quasi-static loading using time/frequency analysis of acoustic emission monitored waveforms [J].Composite Science and Technology, 2006, 66:1366-1375.
[4] [4] CHEN H G, JIANG J SH, LI J M, et al.. Damage detection of wing-box based on lifting wavelet packet transform and neural network [J]. Journal of Vibration, Measurement & Diagnosis, 2013, 33(1):116-121. (in Chinese)
[5] [5] LU J Y, WANG B F, LIANG D K. Identification of impact location by using FBG based on wavelet packet feature extraction and SVR [J].Opt. Precision Eng., 2012, 20(2):712-714. (in Chinese)
[6] [6] LUO P, TIAN J W, WANG L X, et al.. Structural damage detection based on fiber Bragg grating and wavelet packet analysis [J].Journal of Disaster Prevention and Mitigation Engineering, 2013, 33(1):97-101. (in Chinese)
[8] [8] XU G Q, XIONG D Y. Applications of fiber Bragg grating sensing technology in engineering [J]. Chinese Optics, 2013, 6(3): 306-317. (in Chinese)
[9] [9] TAKEDA S, MINAKUCHI S, OKABE Y, et al.. Delamination monitoring of laminated composites subjected to low-velocity impact using small-diameter FBG sensors [J].Composites:Part A, 2005, 36:903-908.
[10] [10] JEANNO F, JOEL C, JOHN B, et al.. Low energy impact damage monitoring of composites using dynamic strain signals from FBG sensors-part Ⅱ: damage identification [J].Composite Structures, 2012, 94:593-600.
[11] [11] LU G. Research on the health monitoring of smart material structure using fiber Bragg grating [D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2011. (in Chinese)
[13] [13] LIU L, YU M, YANG R J, et al.. Wavelet denoising applied in optical fiber Raman temperature sensor system [J].Chinese Journal of Lasers, 2013, 40(6):0605005-1-5. (in Chinese)
[14] [14] RUAN H, DAI L K. Support vector machine classification and regression based hybrid modeling method and its application in Raman spectral analysis [J]. Chinese Journal of Scientific Instrument, 2010, 31(11):2440-2446. (in Chinese)
[15] [15] MALLAT S G. A theory for multiresolution signal decomposition: the wavelet representation [J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(7):674-693.
[16] [16] SCHLKOPF B, SMOLA A, WILLIAMSON R C, et al.. New support vector algorithms [J]. Neural Computation, 2000, 12(5): 1207-1245.
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LU Shi-zeng, LIN Lan-bo, JIANG Ming-shun, JIA Lei, SUI Qing-mei, SAI Yao-zhang. Identification system of composite material damage based on FBG sensor[J]. Optics and Precision Engineering, 2014, 22(11): 2894
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Received: Dec. 24, 2013
Accepted: --
Published Online: Dec. 8, 2014
The Author Email: Shi-zeng LU (lusz1986@126.com)