Table of Content

Open Access iconOpen Access

ARTICLE

crossmark

Nonlinear Correction of Pressure Sensor Based on Depth Neural Network

Yanming Wang1,2,3, Kebin Jia1,2,3,*, Pengyu Liu1,2,3

1 Beijing University of Technology, Beijing, 100124, China
2 Beijing Laboratory of Advanced Information Networks, Beijing, 100124, China
3 Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China

* Corresponding Author: Kebin Jia. Email: email

Journal on Internet of Things 2020, 2(3), 109-120. https://doi.org/10.32604/jiot.2020.010138

Abstract

With the global climate change, the high-altitude detection is more and more important in the climate prediction, and the input-output characteristic curve of the air pressure sensor is offset due to the interference of the tested object and the environment under test, and the nonlinear error is generated. Aiming at the difficulty of nonlinear correction of pressure sensor and the low accuracy of correction results, depth neural network model was established based on wavelet function, and Levenberg-Marquardt algorithm is used to update network parameters to realize the nonlinear correction of pressure sensor. The experimental results show that compared with the traditional neural network model, the improved depth neural network not only accelerates the convergence rate, but also improves the correction accuracy, meets the error requirements of upper-air detection, and has a good generalization ability, which can be extended to the nonlinear correction of similar sensors.

Keywords


Cite This Article

APA Style
Wang, Y., Jia, K., Liu, P. (2020). Nonlinear correction of pressure sensor based on depth neural network. Journal on Internet of Things, 2(3), 109-120. https://doi.org/10.32604/jiot.2020.010138
Vancouver Style
Wang Y, Jia K, Liu P. Nonlinear correction of pressure sensor based on depth neural network. J Internet Things . 2020;2(3):109-120 https://doi.org/10.32604/jiot.2020.010138
IEEE Style
Y. Wang, K. Jia, and P. Liu, “Nonlinear Correction of Pressure Sensor Based on Depth Neural Network,” J. Internet Things , vol. 2, no. 3, pp. 109-120, 2020. https://doi.org/10.32604/jiot.2020.010138



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 2378

    View

  • 1312

    Download

  • 0

    Like

Related articles

Share Link