Implementation of Stimulated Brillouin Scattering in Optical Fiber Sensor for Improved Stability by Using Neuro-Fuzzy Theory

뉴로-퍼지 알고리즘을 적용한 광파이버 유도 브릴루앙 산란 센서의 신뢰도 향상에 관한 연구

  • 황경준 (원광대 공대 전자재료공학과) ;
  • 염경태 (원광대 공대 전자재료공학과) ;
  • 김용갑 (원광대 공대 전기전자 및 정보공학부)
  • Published : 2008.01.01

Abstract

This is a research to apply 1310nm single-mode optical fiber to a temperature sensor. The existing study of optical fiber sensor is complicated because it was made with various equipment. To vary scattering, the variation of optical frequency is measured by using Bragg(lattice) or pulse generator and also bulk system is created by YAG laser but there were some difficulties creating experimental environment and it was a problem that the stability of measured data was low. The temperature sensor system using the suggested sBs(stimulated Brillouin scattering:sBs) from this research is much more simplified straight-line system. To improve the trust and accuracy of noises from optical frequency and unclear results, it was analysed by using Neuro-Fuzzy algorithm. we tried to get more correct data than existing system. sBs measure that optical frequency changed due to the variation of temperature. The analyzed change rate of outcome by Fuzzy theory is 1.1 MHz.

Keywords

References

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