한국산업정보학회:학술대회논문집 (Proceedings of the Korea Society for Industrial Systems Conference)
- 한국산업정보학회 2002년도 춘계학술대회 논문집
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- Pages.356-360
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- 2002
센서 어레이를 이용한 신경망 기반의 가스 인식 시스템 개발
A development of neural-network based gas recognition system using sensor array
초록
산업의 발달과 더불어 CO,
Polluting the air with such pollutants as CO, H₂S and SO₂, industrial development huts increased the danger of gas toxication. Futhermore, as the: living standard goes higher, the consumption of explosive hydrocarbonic gases such as butane(C₄H/sub 10/) or propane(C₃H/sub 8/) has been soaring, which results in the danger of a gas explosion. As measures to cope with such dangers, the development of highly sensitive gas sensors, gas detectors adopting gas-sensing technologies, and gas recognition systems are urgently required. The objective of the present research is to develop a gas recognition system that is capable of identifying specific types of selected gases by formulating a semiconductor-typed gas sensor array, which not only improves the selectivity of semiconductor-typed gas sensors but also minimizes the erect of drifts on a single sensor signal, and applying the input pattern data of gases detected by the array to a neural network.
키워드