내부 최적화를 이용한 화학 센서의 단기 드리프트 분석 및 보정 = Short Term Sensor`s Drift Analysis and Compensation Using Internal Normalization

다국어 초록 (Multilingual Abstract)

One of the main problems when working the chemical sensor is the lack of repeatability and reproducibility of the sensor response. If the problem is not properly taken into consideration, the stability and reliability of the system using chemical sensors would be decreased. In this paper we analyzed the sensor`s drift of short term and proposed a compensation method for reducing the effects of the drift in order to improve the stability and the reliability of the chemical sensor. The sensor drift was analyzed by a trend line graph and CV(coefficient of variation) was used to quantify. And we compensated for the drift by using the internal normalization. As a result it was found that the value of CV was decreased after compensation.

참고문헌 (Reference)

1 Mielle, P, "Managing dynamic thermal exchanges in commercial semiconduting gas sensors" 34 : 533-538, 1996

2 R. K. Sharma, "Investigation of stability and reliability of tin oxide thin-film for integrated micro-machined gas sensor devices" 81 : 9-16, 2001

3 M. M. Macías, "Improving short term instability for quantitative analyses with portable electronic noses" 14 : 10514-10526, 2014

4 M. Holmberg, "Drift counteraction in odour recognition applications : Lifelong calibration method" 42 : 185-194, 1997

5 M. Padilla, "Drift compensation of gas sensor array data by orthogonal signal correction" 100 : 28-35, 2010

6 S. Di Carlo, "Drift Correction Methods for Gas Chemical Sensors in Artificial Olfaction Systems: Techniques and Challenges, In Advances in Chemical Sensors" InTech 2012

7 C. Di Natale, "Counteraction of environmental disturbances of electronic nose data by independent component analysis" 82 : 158-165, 2002