Fiber Grating Sensor Temperature Prediction Based on Relevance Vector Machine

Fang Liu; Lei Yu; Yan Li

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 443-444Fiber Grating Sensor Temperature Prediction Based...

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.

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Periodical:

Advanced Materials Research (Volumes 443-444)

Pages:

40-44

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.443-444.40

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Online since:

January 2012

Authors:

Fang Liu, Lei Yu, Yan Li

Keywords:

Fiber Grating Sensor, Relevance Vector Machine, Temperature Prediction

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References

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