Signal processing algorithm of newly developed transmission-type extrinsic Fabry-Perot interferometric optical fiber sensor

Sang-Hoon Kim; Jung-Ju Lee; Il-Bum Kwon

doi:10.1117/12.388140

12 June 2000 Signal processing algorithm of newly developed transmission-type extrinsic Fabry-Perot interferometric optical fiber sensor

Sang-Hoon Kim, Jung-Ju Lee, Il-Bum Kwon

Author Affiliations +

Proceedings Volume 3986, Smart Structures and Materials 2000: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials; (2000) https://doi.org/10.1117/12.388140
Event: SPIE's 7th Annual International Symposium on Smart Structures and Materials, 2000, Newport Beach, CA, United States

Abstract

The newly developed TEFPI (transmission-type extrinsic Fabry- Perot interferometric) optical fiber sensor can distinguish the direction of measurement more simply and effectively than the conventional reflection-type EFPI optical fiber sensors. The output signal of the TEFPI optical fiber sensor has the characteristics that the signal level of fringes shows a negative slope for a tensile direction and a positive slope for a compressive direction. Based on these characteristics, the direction of measurement of the TEFPI optical fiber sensor can be distinguished with ease. In this paper, the signal processing algorithm adequate to the TEFPI optical fiber sensor was developed. This algorithm can process signal with recognition of the positions of peaks, valleys and signal levels of fringes. Thus this can determine a measurement direction and the positions of direction changes by using the change trend of signal levels. The developed algorithm makes the post-process and real-time process of the signal of the TEFPI optical fiber sensor possible.

Citation Download Citation

Sang-Hoon Kim, Jung-Ju Lee, and Il-Bum Kwon "Signal processing algorithm of newly developed transmission-type extrinsic Fabry-Perot interferometric optical fiber sensor", Proc. SPIE 3986, Smart Structures and Materials 2000: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials, (12 June 2000); https://doi.org/10.1117/12.388140

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