Research on High-Precision, Low Cost Piezoresistive MEMS-Array Pressure Transmitters Based on Genetic Wavelet Neural Networks for Meteorological Measurements

Research on High-Precision, Low Cost Piezoresistive MEMS-Array Pressure Transmitters Based on Genetic Wavelet Neural Networks for Meteorological Measurements

This paper provides a novel and effective compensation method by improving the hardware design and software algorithm to achieve optimization of piezoresistive pressure sensors and corresponding measurement systems in order to measure pressure more accurately and stably, as well as to meet the appli...

Full description

Bibliographic Details
Main Authors: Jiahong Zhang, Yusheng Wu, Qingquan Liu, Fang Gu, Xiaoli Mao, Min Li
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:Micromachines
Subjects:
high-precision
array of MEMS pressure sensors
data fusion
wavelet neural network
genetic algorithm
temperature drift compensation
hysteresis compensation
long-term stability
hardware implementation of GA-WNN model
Online Access:http://www.mdpi.com/2072-666X/6/5/554

Internet

http://www.mdpi.com/2072-666X/6/5/554

Similar Items