标题:CFRP damage identification system by using FBG sensor and RBF neural network
作者:Jiang, Mingshun ;Lu, Shizeng ;Sui, Qingmei ;Zhang, Lei ;Jia, Lei
作者机构:[Jiang, Mingshun ;Lu, Shizeng ;Sui, Qingmei ;Zhang, Lei ;Jia, Lei ] School of Control Science and Engineering, Shandong University, Jinan, Shandong Pr 更多
会议名称:10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
会议日期:15 June 2015 through 17 June 2015
来源:Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
出版年:2015
页码:1487-1490
DOI:10.1109/ICIEA.2015.7334343
关键词:carbon fiber reinforced plastics; fiber Bragg grating; radial basis function neural network; structural damage identification
摘要:A damage identification system of carbon fiber reinforced plastics (CFRP) structures was studied using the damage detection network, which was constituted by fiber Bragg grating (FBG) sensors, and radial basis function (RBF) neural network. First, FBG sensors were used to detect the structural dynamic response signals, which were excited by active excitation method. Then, the damage characteristic was extracted by Fourier transform from the signal. In addition, the RBF neural network was designed to identify the type of damage, with the damage characteristic as the input and the damage state as the output. At last, the system of CFRP by using FBG sensors was verified by experimental method. The results showed that, in the 160mm∗160mm experimental area of CFRP plate, the damage state was investigated with accurate identification. Briefly, the system provided an effective method for CFRP structural damage identification. © 2015 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960841862&doi=10.1109%2fICIEA.2015.7334343&partnerID=40&md5=0bacfaedf5e5dda0afb835de25eed41f
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