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

다국어 초록 (Multilingual Abstract)

This is a research to apply 1310㎚ 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 ㎒.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 본론
• 3. 결론
• 감사의 글
• 참고문헌
• 저자소개

참고문헌 (Reference)

1 이호준, "샘플링 광섬유 Bragg 격자를 이용한 광섬유 내의 유도 Brillouin 산란 억제" 한국광학회 16 (16): 485-489, 2005

2 김향균, "광섬유에 유도되는 stimulated Brillouin scattering 현상이 광전송 시스템에 미치는 영향 측정 및 제거" 7 : 1996

3 이현욱, "광섬유격자 온도센서의 정밀도 개선" 한국광학회 17 (17): 216-222, 2006

4 황경준, "광섬유 내의 유도 브릴루앙 산란광을 이용한 실시간 온도 모니터링에 관한 연구" COOC2007(광전자 및 광통신 학술회의), TP-7, pp94-95, May, 2007"

5 박희갑, "공간 선택적 브릴루앙 산란을 이용한분포형 광섬유 센서의 시뮬레이션" 한국광학회 17 (17): 127-135, 2006

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