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Proceedings Paper

Design research on higher precision optical fiber f-p sensor for detecting surface waves
Author(s): Shan Ning; Guo Heng
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Paper Abstract

The optical fiber F-p sensor deviates from working point easily because of machining error and external factors in practical applications. It leads to output signal attenuation and the decreasing of signal noise ratio. On this problem, the structure of optical fiber F-p sensor is designed. The technique of dual optical wavelength stabilization is put forward and adopted. Based on the technique, the system of low fineness optical fiber F-p sensor is designed. The mathematical model of sensing system is established. And differential evolution algorithm is introduced to establish the optimal model of sensing system for the first time. The structure of sensing system is simulated and optimized. The global optimization solution can be attained in shorter run time and the error is less than 10-3. The simulation results prove that this algorithm is proper and feasible, high efficiency and reliable. It can be applied to optimize and design the structure of optical fiber F-p sensor. Then a higher quadrature precision sensing system is designed and machined. Experimental setup of laser ultrasound optical fiber F-p sensing system is established for detecting surface waves. The experimental results show this sensor can detect surface waves effectively. It has higher sensitivity and larger signal-to-noise ratio.

Paper Details

Date Published: 11 October 2010
PDF: 7 pages
Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 76563G (11 October 2010); doi: 10.1117/12.863077
Show Author Affiliations
Shan Ning, Engineering College of The Chinese People's Armed Police Force (China)
Guo Heng, North China Univ. of Water Conservancy and Electric Power (China)


Published in SPIE Proceedings Vol. 7656:
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; Jose M. Sasian; Libin Xiang; Sandy To, Editor(s)

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