Fiber Grating Sensor Temperature Prediction Based on Relevance Vector Machine

Abstract:

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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)

Edited by:

Li Jian

Pages:

40-44

DOI:

10.4028/www.scientific.net/AMR.443-444.40

Citation:

F. Liu et al., "Fiber Grating Sensor Temperature Prediction Based on Relevance Vector Machine", Advanced Materials Research, Vols. 443-444, pp. 40-44, 2012

Online since:

January 2012

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Price:

$35.00

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