Capillary-based optical fiber sensor for turbidity measurement

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URI: https://hdl.handle.net/10902/36518
ISSN: 0277-786X
ISSN: 1996-756X
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Autoría
Vanegas Tenezaca, Evelyn; Galarza Galarza, Marko; Daulait, Romain; Jamier, Raphael; Roy, Philippe; Cobo García, AdolfoAutoridad Unican; López-Amo Sainz, Manuel
Fecha
2025-05-22
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© 2025 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
Publicado en
Proceedings of SPIE, 2025, 13639, 1363980
29th International Conference on Optical Fiber Sensors, Porto, Portugal, 2025
Editorial
SPIE Society of Photo-Optical Instrumentation Engineers
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Palabras clave
Capillary
Machine learning
Optical fiber sensor
Turbidity
Resumen/Abstract
This work introduces an innovative capillary or hollow core-based sensor designed to measure turbidity by using the reflection of light in its cladding. The structure consists of two different capillary sections and has been optimized to maximise the interaction of light with the external liquid. Experimentation includes data collection from different turbidity levels using the reflected spectrum. To improve the measuring results, machine learning is implemented, exploring the effectiveness of various algorithms and neural network architectures to achieve a good root mean square error.
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