상세정보
학술지
SnO2 gas sensing array for combustible and explosive gas leakage recognition
- 저자
- 이대식, Duk-Dong Lee, Sang-Woo Ban, 이민호, 김윤태
- 발행일
- 200206
- 출처
- IEEE Sensors Journal, v.2 no.3, pp.140-149
- ISSN
- 1530-437X
- 출판사
- IEEE
- 협약과제
- 01MB2200, 초미세 생체신호 통신용 마이크로소자 핵심기술, 이번
- 초록
- A gas-sensing array with ten different SnO2 sensors was fabricated on a substrate for the purpose of recognizing various kinds and quantities of indoor combustible gas leakages, such as methane, propane, butane, LPG, and carbon monoxide, within their respective threshold limit value (TLV) and lower explosion limit (LEL) range. Nano-sized sensing materials with high surface areas were prepared by coprecipitating SnCl4 with Ca and Pt, while the sensing patterns of the SnO2 -based sensors were differentiated by utilizing different additives. The sensors in the sensor array were designed to produce a uniform thermal distribution along with a high and differentiated sensitivity and reproducibility for low concentrations below 100 ppm. Using the sensing signals of the array, an electronic nose system was then applied to classify and identify simple/mixed explosive gas leakages. A gas pattern recognizer was implemented using a neuro-fuzzy network and multi-layer neural network, including an error-back-propagation learning algorithm. Simulation and experimental results confirmed that the proposed gas recognition system was effective in identifying explosive and hazardous gas leakages. The electronic nose in conjunction with a neuro-fuzzy network was also implemented using a digital signal processor (DSP). © 2002 IEEE.
- KSP 제안 키워드
- Back Propagation(BP), Back-propagation learning algorithm, Carbon monoxide(CO), Combustible gas, Digital signal processor(DSP), Electronic Nose(E-Nose), Electronic nose system, Explosive gas, Gas leakage, Gas sensing, Hazardous gas