세 가지 드리프트 보정 기법을 이용한 단기 센서 드리프트 보정
Short term Sensor’s Drift Compensation by using Three Drift Correction Techniques
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초록
The ideal chemical sensor must show the similar result under the same condition for accurate measurement of gases regardless oftime. However, the actual responses of chemical sensors have been shown the lacks of repeatability and reproducibility because of thedrift which has been caused by aging and pollution of the sensor and the environment change such as temperature and humidity. If theproblems are not properly taken into considerations, the stability and reliability of the system using chemical sensors would bedecreased. In this paper, we analyzed the sensor's drift and applied the three different compensation methods(DWT( Discrete WaveletsTransform), Baseline Manipulation, Internal Normalization) for reducing the effects of the drift in order to improve the stability and thereliability of short term of the chemical sensors. And in order to compare the results of the methods, the standard deviation was usedas a criterion. The sensor drift was analyzed by a trend line graph. We applied the three methods to the successive data measured forthree days and compared the results. As a result of comparison, the standard deviation of DWT showed lowest value. (Before com-pensation: 7.1219, DWT: 1.3644, Baseline Manipulation: 2.5209, Internal Normalization: 3.1425)
Abstract
The ideal chemical sensor must show the similar result under the same condition for accurate measurement of gases regardless oftime. However, the actual responses of chemical sensors have been shown the lacks of repeatability and reproducibility because of thedrift which has been caused by aging and pollution of the sensor and the environment change such as temperature and humidity. If theproblems are not properly taken into considerations, the stability and reliability of the system using chemical sensors would bedecreased. In this paper, we analyzed the sensor's drift and applied the three different compensation methods(DWT( Discrete WaveletsTransform), Baseline Manipulation, Internal Normalization) for reducing the effects of the drift in order to improve the stability and thereliability of short term of the chemical sensors. And in order to compare the results of the methods, the standard deviation was usedas a criterion. The sensor drift was analyzed by a trend line graph. We applied the three methods to the successive data measured forthree days and compared the results. As a result of comparison, the standard deviation of DWT showed lowest value. (Before com-pensation: 7.1219, DWT: 1.3644, Baseline Manipulation: 2.5209, Internal Normalization: 3.1425)
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