Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (2): 223-226.

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Load Localization of Optical Fiber Smart Structures Based on Probabilistic Neural Networks

LI Peng   

  1. School of Mechanical and Electronical Engineering,East China Jiaotong University,Nanchang Jiangxi 330013,China
  • Received:2011-05-10 Published:2018-11-19

Abstract: In this paper,the load location of optical fiber smart structures is identified based on probabilistic neural networks.The optical fiber network and the monitoring circuit were designed to acquire structural load information as feature vectors.The probabilistic neural networkstructure is brought forward by employing the method of neural network.The feature vectors as the sample is presented to the probabilistic neural network.Theeffect of smoothing parameter and number of training samples on the localization performance of the probabilistic neural network is studied.The result shows that good selection of the number of training samples (30)and smoothing parameter (0.25) boost the load localization accuracy (93.2%).The localization model of probabilistic neural was presented finally.

Key words: optical fiber smart structures, load localization, probabilistic neural networks, smoothing parameter

CLC Number: 

  • TP391.4
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