Short term Sensor's Drift Compensation by using Three Drift Correction Techniques

Abstract

The ideal chemical sensor must show the similar result under the same condition for accurate measurement of gases regardless of time. However, the actual responses of chemical sensors have been shown the lacks of repeatability and reproducibility because of the drift which has been caused by aging and pollution of the sensor and the environment change such as temperature and humidity. If the problems are not properly taken into considerations, the stability and reliability of the system using chemical sensors would be decreased. In this paper, we analyzed the sensor's drift and applied the three different compensation methods(DWT( Discrete Wavelets Transform), Baseline Manipulation, Internal Normalization) for reducing the effects of the drift in order to improve the stability and the reliability of short term of the chemical sensors. And in order to compare the results of the methods, the standard deviation was used as a criterion. The sensor drift was analyzed by a trend line graph. We applied the three methods to the successive data measured for three days and compared the results. 실험 방법 데이터 특징 선택 및 전처리강원대학교 전자정보통신공학부(Division of Electronics, Information & Communication Engineering, Kangwon National University) 5-Engineering Bldg., Kangwon National University, Joongang-ro Samcheok-si Gangwon-do, 245-711, Korea + Corresponding author: byun@kangwon.ac.kr (Received: Jul. 22, 2016, Accepted: Jul. 26, 2016 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License(http://creativecommons.org/ licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.