
Proceedings Paper
Study on intensity modulated POF vibration sensorsFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper, a comparison study on the all fiber optic non-contact vibration sensors which are designed based on the principle of reflected light intensity modulation is reported. Various structural designs were proposed to enable advancement in the sensing of the vibration. For every configuration, achieved an improvement by eliminating the dark region, exhibits single slope which enables easy alignment and the rational output method used to eliminate the effect of light source on sensing. The comparison between dual plastic optical fiber, fiber optic fused 1x2 coupler and fiber optic fused 2x2 coupler vibration sensors have been discussed in detail with respect to the vibration measurement. The results reveal that, among all the reported vibration sensors 2x2 fiber optic coupler sensor exhibits better response in all the aspects. It has high resolution of 0.03 µm and frequency range up to 3.5 kHz.
Paper Details
Date Published: 16 October 2019
PDF: 5 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112050W (16 October 2019); doi: 10.1117/12.2542207
Published in SPIE Proceedings Vol. 11205:
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
Anand Asundi; Motoharu Fujigaki; Huimin Xie; Qican Zhang; Song Zhang; Jianguo Zhu; Qian Kemao, Editor(s)
PDF: 5 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112050W (16 October 2019); doi: 10.1117/12.2542207
Show Author Affiliations
Kishore Putha, National Institute of Technology Warangal (India)
D. Dantala, National Institute of Technology Warangal (India)
D. Dantala, National Institute of Technology Warangal (India)
M. Padmavanthi, National Institute of Technology Warangal (India)
Published in SPIE Proceedings Vol. 11205:
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
Anand Asundi; Motoharu Fujigaki; Huimin Xie; Qican Zhang; Song Zhang; Jianguo Zhu; Qian Kemao, Editor(s)
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