Researching | Identification of Steel Plate Damage Position Based on Particle Swarm Support Vector Machine

Chinese Journal of Lasers, Volume. 44, Issue 10, 1006006(2017)

Identification of Steel Plate Damage Position Based on Particle Swarm Support Vector Machine

Zhang Yanjun^1,2、*, Wang Huimin^1,2, Fu Xinghu^1,2, and Zhang Yinan^1,2

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References(13)

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[2] Ye Xiaowei, Jiang Yang, Ni Yiqing et al. Experimental study on damage detection of railway turnouts based on characteristics of FBG reflective spectra[J]. Journal of Vibration and Shock, 33, 71-76(2014).

[3] Kim S W, Kim E H, Jeong M S. et al. Damage evaluation and strain monitoring for composite cylinders using tin-coated FBG sensors under low-velocity impacts[J]. Composites Part B: Engineering, 74, 13-22(2015). http://www.sciencedirect.com/science/article/pii/S1359836815000098

[4] Lu Shizeng, Lin Lanbo, Jiang Mingshun et al. Identification system of composite material damage based on FBG sensor[J]. Optics and Precision Engineering, 22, 2894-2901(2014).

[5] Ouyang Qinghua, Zhou Li, Liu Xiaotong. Identification of structural multiple damage locations using an effective signal automatic extraction algorithm[J]. Journal of Harbin Institute of Technology, 49, 35-41(2017).

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Zhang Yanjun, Wang Huimin, Fu Xinghu, Zhang Yinan. Identification of Steel Plate Damage Position Based on Particle Swarm Support Vector Machine[J]. Chinese Journal of Lasers, 2017, 44(10): 1006006

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Paper Information

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Received: May. 22, 2017

Accepted: --

Published Online: Oct. 18, 2017

The Author Email: Yanjun Zhang (yjzhang@ysu.edu.cn)

DOI:10.3788/CJL201744.1006006

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology