Abstract

A Novel Retraining Method of Multiple Self-Organizing Maps for Gas Sensor Drift Compensation

Highlights

  • An electronic nose is a smart device that generally consists of an array of nonspecific gas sensors and a proper pattern recognition module, which mimics the human olfactory system

  • We set two pumps here to control the gas injection and ejection: the standard gas samples enter the platform via pump 1 while pump 2 releases the gases from the chamber

  • The gas sensor array is composed of four metal oxide (MOX) gas sensors, Fig. 1

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Summary

Introduction

An electronic nose is a smart device that generally consists of an array of nonspecific gas sensors and a proper pattern recognition module, which mimics the human olfactory system. It has been widely used in several domains, such as food freshness detection,(1) medical diagnosis,(2) and environmental protection.[3] Compared with traditional chemical analysis, the electronic nose is characterized by high speed and low cost. Sensor drift can be generally divided into temporary drift and long-term drift When it follows the vibration of environmental factors, such as temperature and humidity, it is considered as a temporary drift, whereas the longterm drift arises from some inner factors such as sensor aging and poisoning.

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