한국가시화정보학회:학술대회논문집

The Korean Society of Visualization (한국가시화정보학회)
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Improvements of Temperature Field Measurement Technique using Neural Network

신경망을 이용한 온도장 측정법 개선 방안

  • 황태규 (한국해양대 대학원 기계공학과) ;
  • 문지섭 ((주)대우전자 연구소) ;
  • 장태현 (경남대학교 기계자동화공학부) ;
  • 도덕희 (한국해양대 기계정보공학부)
  • Published : 2004.11.01
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Abstract

Thermo-chromic Liquid Crystal(TLC) particles were used as temperature sensor for thermal fluid flow. $1K\times1K$ CCD color camera and Xenon Lamp(500W) were used for the visualization of a Hele-Shaw cell. The characteristic between the reflected colors from the TLC and their corresponding temperature shows strong non-linearity. A neural network known as having strong mapping capability for non-linearity is adopted to quantify the temperature field using the image of the flow. Improvements of color-to-temperature mapping was attained by using the local color luminance (Y) and hue (H) information as the inputs for the constructed neural network.

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