Paper Title:
Fiber Grating Sensor Temperature Prediction Based on Relevance Vector Machine
  Abstract

Fiber grating sensor network plays an important role in evaluating the bridge health condition and gaining bridge structure characteristic.Bridge structural distortion and variation of stress is associated with temperature.So it is essential to make temperature prediction bases on the length of wave which gained from fiber grating sensor network system.Traditionally, we apply least square method to predict temperature.In this paper,we use method of relevance vector machine (RVM) to make it.

  Info
Periodical
Advanced Materials Research (Volumes 443-444)
Chapter
Chapter 1: Advances in Manufacturing Engineering Techniques and Materials Science
Edited by
Li Jian
Pages
40-44
DOI
10.4028/www.scientific.net/AMR.443-444.40
Citation
F. Liu, L. Yu, Y. Li, "Fiber Grating Sensor Temperature Prediction Based on Relevance Vector Machine", Advanced Materials Research, Vols. 443-444, pp. 40-44, 2012
Online since
January 2012
Authors
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Price
$32.00
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