Nonlinear correction of methane sensor based on functional link neural network

GUO Quan-min; WANG Jian

doi:10.13873/j.1000-97872008.10.019

Chinese

您当前的位置：

首页 >

文章列表页 >

Nonlinear correction of methane sensor based on functional link neural network

更新时间：2025-09-11

- Nonlinear correction of methane sensor based on functional link neural network
- Vol. 27, Issue 10, Pages: 5-7(2008)
- 作者机构：
  
  西安工业大学电子信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872008.10.019
  CLC： TP183;TP212
- Published：2008
- 稿件说明：
移动端阅览
[1]郭全民,王健.基于函数型连接神经网络的瓦斯传感器非线性校正[J].传感器与微系统,2008,27(10):5-7.

GUO Quan-min, WANG Jian. Nonlinear correction of methane sensor based on functional link neural network[J]. 2008, 27(10): 5-7.
[1]郭全民,王健.基于函数型连接神经网络的瓦斯传感器非线性校正[J].传感器与微系统,2008,27(10):5-7. DOI： 10.13873/j.1000-97872008.10.019.

GUO Quan-min, WANG Jian. Nonlinear correction of methane sensor based on functional link neural network[J]. 2008, 27(10): 5-7. DOI： 10.13873/j.1000-97872008.10.019.

摘要

通过对载体催化瓦斯传感器检测原理的分析

指出瓦斯体积分数与瓦斯传感器输出电压之间呈非线性关系

提出了应用函数型连接神经网络的强非线性逼近能力

且不依赖确定的数学模型的优点

建立非线性校正模型

消除瓦斯检测中的非线性误差。网络仿真结果与分段线性拟合曲线的比较表明:这种非线性校正模型结构简单、收敛速度快、逼近精度高。

Abstract

The nonlinear relation between methane volume fraction and catalytic methane sensor output voltage is indicated by analysis of the sensor detection principle.A nonlinear correction model based on functional link neural network（FLNN）

which is characterized by nonlinear approach ability and independent on accurate mathematical model

is proposed to eliminate the nonlinear errors in methane detection.The comparison between simulation result and piecewise linear fitting curve shows that the model has advantageous of simple structure

fast convergence

high approximation precision.

关键词

Keywords

references

光纤甲烷气体检测系统的研究 [J]. 王艳菊,王玉田,王忠东. 压电与声光 . 2007(02)

基于FLANN的称重传感器动态补偿方法 [J]. 黄杭美. 传感器与微系统 . 2006(08)

矿用瓦斯传感器新型测量方法研究 [J]. 尹洪胜,邓威,华钢. 煤炭工程 . 2006(05)

恒温瓦斯检测输出非线性的动态调校 [J]. 童敏明,钱毅. 仪器仪表学报 . 2001(05)

瓦斯传感器稳态工作方程与线性补偿模拟 [J]. 刘建周,王永志,冯业铭,魏贤勇. 传感器技术 . 1999(01)

纸浆浓度传感器非线性估计和动态标定的一种新方法 [J]. 沈毅,张建秋,王世忠,刘志言. 仪器仪表学报 . 1997(01)

Views

119

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Realization of error correction method by FPGA for Si piezoresistive pressure sensor

Design of test system for maglev train gap sensor based on LabVIEW

Study of UWB-RFID wireless methane sensor based on Pd-SWCNTs

Study on soft-sensing method of tower crane load based on FLNN

Nonlinear correction of methane sensor based on improved BP neural network

Related Author

XU Da-cheng

HUA Zhen-yu

ZHANG Kun-lun

JING Yong-zhi

HE Fei

MAO Xin-rong

LIU Jian

JIA Yong-feng2

Related Institution

Micro-nano Sensor Research Center,Soochow University

Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle,Ministry of Education

School of Electrical Engineering,Southwest Jiaotong University

College of Communication and Information Engineering,Xi’an University of Science and Technology

Shanxi College of Communication Technology

⁰