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开放乡村环境中电子鼻传感器强背景干扰的抑制

Suppression of Strong Background Interference on E-Nose Sensors in an Open Country Environment.

作者信息

Tian Fengchun, Zhang Jian, Yang Simon X, Zhao Zhenzhen, Liang Zhifang, Liu Yan, Wang Di

机构信息

College of Communication Engineering, Chongqing University, 174 Sha Pingba, Chongqing 400044, China.

Advanced Robotics and Intelligent Systems (ARIS) Lab, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.

出版信息

Sensors (Basel). 2016 Feb 16;16(2):233. doi: 10.3390/s16020233.

DOI:10.3390/s16020233
PMID:26891302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4801609/
Abstract

The feature extraction technique for an electronic nose (e-nose) applied in tobacco smell detection in an open country/outdoor environment with periodic background strong interference is studied in this paper. Principal component analysis (PCA), Independent component analysis (ICA), re-filtering and a priori knowledge are combined to separate and suppress background interference on the e-nose. By the coefficient of multiple correlation (CMC), it can be verified that a better separation of environmental temperature, humidity, and atmospheric pressure variation related background interference factors can be obtained with ICA. By re-filtering according to the on-site interference characteristics a composite smell curve was obtained which is more related to true smell information based on the tobacco curer's experience.

摘要

本文研究了一种电子鼻（e-nose）的特征提取技术，该电子鼻应用于在存在周期性背景强干扰的野外/户外环境中进行烟草气味检测。主成分分析（PCA）、独立成分分析（ICA）、重新滤波和先验知识相结合，以分离和抑制电子鼻上的背景干扰。通过复相关系数（CMC）可以验证，使用ICA能够更好地分离与环境温度、湿度和大气压力变化相关的背景干扰因素。根据现场干扰特征进行重新滤波，基于烟草烘烤师的经验获得了一条与真实气味信息更相关的复合气味曲线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecee/4801609/ec3b67d3f865/sensors-16-00233-g018.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecee/4801609/598ba5389170/sensors-16-00233-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecee/4801609/ec3b67d3f865/sensors-16-00233-g018.jpg

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2
A new formulation of the coefficient of multiple correlation to assess the similarity of waveforms measured synchronously by different motion analysis protocols.一种新的复相关系数公式，用于评估不同运动分析协议同步测量的波形的相似性。
Gait Posture. 2010 Apr;31(4):540-2. doi: 10.1016/j.gaitpost.2010.02.009. Epub 2010 Mar 29.
3
A review of analytical techniques for gait data. Part 2: neural network and wavelet methods.
使用具有可调Rh-TiO催化覆盖层的氧化物化学电阻器对苯进行高选择性检测及对挥发性芳香化合物进行鉴别
Adv Sci (Weinh). 2021 Feb 1;8(6):2004078. doi: 10.1002/advs.202004078. eCollection 2021 Mar.
4
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Sensors (Basel). 2020 Mar 25;20(7):1817. doi: 10.3390/s20071817.
5
Intelligent Control of Bulk Tobacco Curing Schedule Using LS-SVM- and ANFIS-Based Multi-Sensor Data Fusion Approaches.基于最小二乘支持向量机（LS-SVM）和自适应神经模糊推理系统（ANFIS）的多传感器数据融合方法对烤烟密集烘烤工艺进行智能控制
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6
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7
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Gait Posture. 2001 Apr;13(2):102-20. doi: 10.1016/s0966-6362(00)00095-3.