Simulation of Temperature Compensation of Pressure Sensor Based on PCA and Improved BP Neural Network

Teng Li; Shi Liang Yang; Hong Liang Pan

doi:10.4028/www.scientific.net/AMR.846-847.513

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Simulation of Temperature Compensation of Pressure...

Simulation of Temperature Compensation of Pressure Sensor Based on PCA and Improved BP Neural Network

Abstract:

Considering the effects of temperature on output of silicon pressure sensor, this paper proposed a novel method for analyzing temperature compensation of pressure sensor by using the combination of Principal Component Analysis (PCA) and improved BP neural networks. By using PCA to extract the prime information of temperature compensation, the multi-dimensional problem is simplified, the noise error data is eliminated, the neura1 network is improved and the fault-tolerance capability is enhanced. The results indicate that this method can restrain the effects of temperature on pressure sensors effectively and enhance their stability and accuracy.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

513-516

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.513

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Online since:

November 2013

Authors:

Teng Li*, Shi Liang Yang, Hong Liang Pan

Keywords:

Neural Network (NN), PCA, Sensor, Temperature Compensation

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* - Corresponding Author

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