Research on Pressure Sensor Temperature Compensation by WNN Based on FA

Yan Mei Sun; Shu Dong Liu; Feng Juan Miao; Bai Rui Tao

doi:10.4028/www.scientific.net/AMM.151.213

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 151Research on Pressure Sensor Temperature...

Research on Pressure Sensor Temperature Compensation by WNN Based on FA

Abstract:

For the sake of eliminating the temperature influence on the output of sensor, wavelet neural network(WNN) based on factor analysis is proposed, and the validity of the method is tested.It realizes screening and dimensionality reduction for primitive data through factor analysis(FA), decreases data redundancy regardless of related data, we make use of the nonlinear reflection ability and association learning ability of wavelet neural network, and proposes a model of pressure sensor temperature compensation. The result shows that the method is fficient for the problem of temperature drift，the stability of the pressure sensor is improved.

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Periodical:

Applied Mechanics and Materials (Volume 151)

Pages:

213-217

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.151.213

Citation:

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Online since:

January 2012

Authors:

Yan Mei Sun, Shu Dong Liu, Feng Juan Miao, Bai Rui Tao

Keywords:

Factor Analysis (FA), Pressure Sensor, Temperature Compensation, Wavelet Neural Network (WNN)

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