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A Zero-Cross Detection Algorithm for Cavity-Length Interrogation of Fiber-Optic Fabry–Perot Sensors
A zero-cross detection algorithm was proposed for the cavity-length interrogation of fiber-optic Fabry–Perot (FP) sensors. The method can avoid the inaccuracy of peak determination in the conventional peak-to-peak method for the cavity-length interrogation of fiber-optic FP sensors caused by the slo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767213/ https://www.ncbi.nlm.nih.gov/pubmed/31500318 http://dx.doi.org/10.3390/s19183868 |
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author | Ma, Zhibo Song, Zechen Huang, Xirui Guo, Tongxin Yuan, Weizheng Chen, Haibin Zhang, Tianyang Wang, Wei |
author_facet | Ma, Zhibo Song, Zechen Huang, Xirui Guo, Tongxin Yuan, Weizheng Chen, Haibin Zhang, Tianyang Wang, Wei |
author_sort | Ma, Zhibo |
collection | PubMed |
description | A zero-cross detection algorithm was proposed for the cavity-length interrogation of fiber-optic Fabry–Perot (FP) sensors. The method can avoid the inaccuracy of peak determination in the conventional peak-to-peak method for the cavity-length interrogation of fiber-optic FP sensors caused by the slow variation of the spectral power density in peak neighboring regions. Both simulations and experiments were carried out to investigate the feasibility and performance of the zero-cross detection algorithm. Fiber-optic FP sensors with cavity lengths in the range of 150–1000 μm were successfully interrogated with a maximum error of 0.083 μm. |
format | Online Article Text |
id | pubmed-6767213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67672132019-10-02 A Zero-Cross Detection Algorithm for Cavity-Length Interrogation of Fiber-Optic Fabry–Perot Sensors Ma, Zhibo Song, Zechen Huang, Xirui Guo, Tongxin Yuan, Weizheng Chen, Haibin Zhang, Tianyang Wang, Wei Sensors (Basel) Article A zero-cross detection algorithm was proposed for the cavity-length interrogation of fiber-optic Fabry–Perot (FP) sensors. The method can avoid the inaccuracy of peak determination in the conventional peak-to-peak method for the cavity-length interrogation of fiber-optic FP sensors caused by the slow variation of the spectral power density in peak neighboring regions. Both simulations and experiments were carried out to investigate the feasibility and performance of the zero-cross detection algorithm. Fiber-optic FP sensors with cavity lengths in the range of 150–1000 μm were successfully interrogated with a maximum error of 0.083 μm. MDPI 2019-09-07 /pmc/articles/PMC6767213/ /pubmed/31500318 http://dx.doi.org/10.3390/s19183868 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ma, Zhibo Song, Zechen Huang, Xirui Guo, Tongxin Yuan, Weizheng Chen, Haibin Zhang, Tianyang Wang, Wei A Zero-Cross Detection Algorithm for Cavity-Length Interrogation of Fiber-Optic Fabry–Perot Sensors |
title | A Zero-Cross Detection Algorithm for Cavity-Length Interrogation of Fiber-Optic Fabry–Perot Sensors |
title_full | A Zero-Cross Detection Algorithm for Cavity-Length Interrogation of Fiber-Optic Fabry–Perot Sensors |
title_fullStr | A Zero-Cross Detection Algorithm for Cavity-Length Interrogation of Fiber-Optic Fabry–Perot Sensors |
title_full_unstemmed | A Zero-Cross Detection Algorithm for Cavity-Length Interrogation of Fiber-Optic Fabry–Perot Sensors |
title_short | A Zero-Cross Detection Algorithm for Cavity-Length Interrogation of Fiber-Optic Fabry–Perot Sensors |
title_sort | zero-cross detection algorithm for cavity-length interrogation of fiber-optic fabry–perot sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767213/ https://www.ncbi.nlm.nih.gov/pubmed/31500318 http://dx.doi.org/10.3390/s19183868 |
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