• Title/Summary/Keyword: 3D mapping of gas sensor

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Analysis of Gas Flow Behavior with Experiments for LPG releasing and 3D Mapping of Gas Sensor (LPG 누출 및 가스센서 3D Mapping을 통한 가스유동현상 분석)

  • Kim, Jeong Hwan;Lee, Min-Kyung;Kil, Seong-Hee;Lee, Jin-han;Jo, Young-do;Moon, Jong-Sam
    • Journal of the Korean Institute of Gas
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    • v.21 no.5
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    • pp.45-55
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    • 2017
  • Release and fire/explosion tests of flammable gas are extremely dangerous. Furthermore, it is difficult to select the site where the experiment can be performed. In these reasons, gas flow analysis(CFD) has been used as much as possible. However, with the opening of the Energy Safety Empirical Research Center in Yeongwol-gun, Gangwon-do in October 2016, it was possible to conduct releases and detection tests of small scale combustible gas as well as large scale / high pressure / ultra low temperature experiments. In this study, LPG leaked after the calibration and placement of the sensor, the sensor detected LPG and the data were visualized as a contour map. And the differences between the actual release(28s, max 3.7[m]) and the analysis were analyzed compared to the FLACS analyzed under the same conditions.

A Step-wise Elimination Method Based on Euclidean Distance for Performance Optimization Regarding to Chemical Sensor Array (유클리디언 거리 기반의 단계적 소거 방법을 통한 화학센서 어레이 성능 최적화)

  • Lim, Hea-Jin;Choi, Jang-Sik;Jeon, Jin-Young;Byu, Hyung-Gi
    • Journal of Sensor Science and Technology
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    • v.24 no.4
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    • pp.258-263
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    • 2015
  • In order to prevent drink-driving by detecting concentration of alcohol from driver's exhale breath, twenty chemical sensors fabricated. The one of purposes for sensor array which consists of those sensors is to discriminate between target gas(alcohol) and interference gases($CH_3CH_2OH$, CO, NOx, Toluene, and Xylene). Wilks's lambda was presented to achieve above purpose and optimal sensors were selected using the method. In this paper, step-wise sensor elimination based on Euclidean distance was investigated for selecting optimal sensors and compared with a result of Wilks's lambda method. The selectivity and sensitivity of sensor array were used for comparing performance of sensor array as a result of two methods. The data acquired from selected sensor were analyzed by pattern analysis methods, principal component analysis and Sammon's mapping to analyze cluster tendency in the low space (2D). The sensor array by stepwise sensor elimination method had a better sensitivity and selectivity compared to a result of Wilks's lambda method.