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

세 가지 드리프트 보정 기법을 이용한 단기 센서 드리프트 보정

  • Jeon, Jin-Young (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Choi, Jang-Sik (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Byun, Hyung-Gi (Division of Electronics, Information & Communication Engineering, Kangwon National University)
  • 전진영 (강원대학교 전자정보통신공학부) ;
  • 최장식 (강원대학교 전자정보통신공학부) ;
  • 변형기 (강원대학교 전자정보통신공학부)
  • Received : 2016.07.22
  • Accepted : 2016.07.26
  • Published : 2016.07.31

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. As a result of comparison, the standard deviation of DWT showed lowest value. (Before compensation: 7.1219, DWT: 1.3644, Baseline Manipulation: 2.5209, Internal Normalization: 3.1425).

Keywords

References

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