Electronic nose system based on PCA and BP hybrid neural network algorithm

WANG Wei-wei; ZHANG Sai-nan

doi:10.13873/j.1000-97872014.04.043

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Electronic nose system based on PCA and BP hybrid neural network algorithm

更新时间：2025-09-11

- Electronic nose system based on PCA and BP hybrid neural network algorithm
- Vol. 33, Issue 4, Pages: 90-92(2014)
- 作者机构：
  
  吉林财经大学网络实验中心
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872014.04.043
  CLC： TP183;TP212
- Published：2014
- 稿件说明：
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[1]王巍巍,张赛男.基于PCA与BP混合神经网络算法的电子鼻系统[J].传感器与微系统,2014,33(04):90-92.

WANG Wei-wei, ZHANG Sai-nan. Electronic nose system based on PCA and BP hybrid neural network algorithm[J]. 2014, 33(4): 90-92.
[1]王巍巍,张赛男.基于PCA与BP混合神经网络算法的电子鼻系统[J].传感器与微系统,2014,33(04):90-92. DOI： 10.13873/j.1000-97872014.04.043.

WANG Wei-wei, ZHANG Sai-nan. Electronic nose system based on PCA and BP hybrid neural network algorithm[J]. 2014, 33(4): 90-92. DOI： 10.13873/j.1000-97872014.04.043.

摘要

为了对食物品质进行非接触式评价

基于6种费加罗金属氧化物气体传感器阵列

通过由数据采集模块和微处理器模块组成的硬件设计方案

设计并研制了可对被测食物进行实时、无损检测的电子鼻系统。在软件设计方案上

该系统采用主成分分析（PCA）和反向传播（BP）混合神经网络模式

通过LabVIEW对气体"指纹信息"数据库进行分析。实验结果表明:该设计的电子鼻系统可以很好地区分不同种类的食醋

并提供了一种对食醋品质评价的便利方法。

Abstract

For non contact food quality evaluation

through hardware design scheme consists of data acquisition module and microprocessor module

an electrical noise system is designed and developed based on six kinds of Figaro metal-oxide gas sensor array for real time food non-destructive examination（ NDE）. As for the software design scheme

the principal component analysis（ PCA） and back propagation（ BP） are utilized and used to analyze gas"fingerprint information"database by LabVIEW. The experimental results show that the designed electronic nose system can distinguish different types of vinegar accurately

and provide a convenient method for vinegar quality evaluation.

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Keywords

references

基于恒电流源的电阻式气敏传感器检测系统 [J]. 刘树海,郑传涛,徐琳,宋宏伟. 吉林大学学报(信息科学版) . 2012(04)

电子鼻在食品工业中的应用进展 [J]. 张晓敏. 中国食品添加剂 . 2008(02)

基于电子鼻的空气中可挥发有机物定量分析 [J]. 张覃轶,孙伟,谢长生,张顺平. 传感器与微系统 . 2006(11)

电子鼻技术在食醋识别中的应用 [J]. 张顺平,张覃轶,李登峰,柏自奎,谢长生. 传感技术学报 . 2006(01)

用于电子鼻研究的多传感器实时动态测试系统设计 [J]. 栾淑利,闫卫平,全宝富,陈丽华. 测控技术 . 2005(02)

基于LabVIEW的阵列式气体传感器动态数据采集系统 [D]. 张鑫. 厦门大学 2007

Electronic Nose Technology and its Applications [J] . Mahmoudi,Esmaeil. Sensors & Transducers . 2009 (8)

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