AN ARTIFICIAL NEURAL NETWORK BASED SENSOR SYSTEMS FOR GAS LEAKAGE MONITORING

• 영문명: AN ARTIFICIAL NEURAL NETWORK BASED SENSOR SYSTEMS FOR GAS LEAKAGE MONITORING
• 발행기관: 한국화재소방학회
• 저자명: Ahn, Hyung-Il Kim, Eung-Sik Lee, June-Ho
• 간행물 정보: 『한국화재소방학회 학술대회논문집』1997년도 International Symposium on Fire Science and Technology, 282~288쪽, 전체 7쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 1997.11.30

영문 초록

The purpose of this paper is to predict the situation of leak in closed space using an Artificial Neural Network (ANN). The existing system can't monitor the whole He situations with on/off signals. Especially the first stage of data determines the leak spot and intensity is disregarded in gas accidents. To complement these faults, a new prototype of monitoring system is proposed. Ihe system is composed of'sensing systenL data acquisition system computer, and ANN implemented in software and is capable of identifying the leak spot and intensity in closed space. The concentration of gas is measured at the 4 different places. The network has 3 layers that are composed of 4 input Processing Element (PE),24 hidden PEs, md 4 output PEs. The ANN has optimum condition through several experiments and as a consequence the recognition rate of93.75% is achieved finally