Study of Fitting Methods of Giant Magneto-Impedance Sensors’ Output Signals

Jing Xiao; Xiu Sheng Duan; Zhe Feng

doi:10.4028/www.scientific.net/AMM.556-562.4880

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Study of Fitting Methods of Giant...

Study of Fitting Methods of Giant Magneto-Impedance Sensors’ Output Signals

Abstract:

As magnetic field varies greatly under complex environment, it is difficult for GMI sensor to adapt. On basis of analyzing the curve of GMI effect, curve fitting methods with polynomial, sum of sine functions and the BP neural network are studied to find the best one to fit the sensors’ outputs. When the best one is acted as model of the GMI sensor for measurement, the measurement precision can be effectively improved and the sensors' range can be greatly expanded.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

4880-4883

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.4880

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Cite this paper

Online since:

May 2014

Authors:

Jing Xiao*, Xiu Sheng Duan, Zhe Feng

Keywords:

Artificial Neural Network (ANN), GMI Sensors, Signal Processing

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* - Corresponding Author

References

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