Research on BP neural network in applied to air-leakage detection

CHEN Yu; LIN Min; GUO Bin

doi:10.13873/j.1000-97872010.04.024

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Research on BP neural network in applied to air-leakage detection

更新时间：2025-09-11

- Research on BP neural network in applied to air-leakage detection
- Vol. 29, Issue 4, Pages: 29-31(2010)
- 作者机构：
  
  中国计量学院计量测试工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872010.04.024
  CLC： TP216
- Published：2010
- 稿件说明：
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[1]陈宇,林敏,郭斌.BP神经网络在气密性检测中的应用研究[J].传感器与微系统,2010,29(04):29-31.

CHEN Yu, LIN Min, GUO Bin. Research on BP neural network in applied to air-leakage detection[J]. 2010, 29(4): 29-31.
[1]陈宇,林敏,郭斌.BP神经网络在气密性检测中的应用研究[J].传感器与微系统,2010,29(04):29-31. DOI： 10.13873/j.1000-97872010.04.024.

CHEN Yu, LIN Min, GUO Bin. Research on BP neural network in applied to air-leakage detection[J]. 2010, 29(4): 29-31. DOI： 10.13873/j.1000-97872010.04.024.

摘要

设计了一种基于差压法原理的以ARM处理器为控制核心的通用型气密性检测仪

利用BP神经网络建立了泄漏量与各个影响因素之间关系的数学模型

并利用该模型对检测数据进行处理。试验结果表明:该检测仪提高了测试精度

并满足在线检测的要求。

Abstract

A general air tightness testing facility is designed based on the principle of differential pressure.The ARM processor acts as control core.The mathematical model is establelished based on the releations of leakage quatity and each factor

and it is used to process the data of dectection.The results shows that the facility meets the requirments of on-line real time detection.

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Keywords

references

基于ARM的CH 4 气体体积分数检测系统 [J]. 张健,丁万山. 传感器与微系统 . 2009(03)

基于dsPIC单片机的气密性检测仪 [J]. 路康,闫艳梅,杨存祥. 微计算机信息 . 2007(35)

基于容积补偿的计算机辅助泄漏检漏仪的研制 [J]. 熊四昌,贾文昂,陈国波. 液压与气动 . 2006(10)

空气检漏仪及其测量技术 [J]. 李开国,李小波,吴亚东,熊先志. 汽车研究与开发 . 1999(03)

基于ARM的嵌入式系统设计与开发[M]. 人民邮电出版社 , 吴学智等, 2007

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Related Author

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Related Institution

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