Highly Dense FBG Temperature Sensor Assisted with Deep Learning Algorithms

In this paper, we demonstrate the application of deep neural networks (DNNs) for processing the reflectance spectrum from a fiberoptic temperature sensor composed of densely inscribed fiber bragg gratings (FBG). Such sensors are commonly avoided in practice since close arrangement of short FBGs resu...

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Detalles Bibliográficos
Autores principales: Kokhanovskiy, Alexey, Shabalov, Nikita, Dostovalov, Alexandr, Wolf, Alexey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473129/
https://www.ncbi.nlm.nih.gov/pubmed/34577392
http://dx.doi.org/10.3390/s21186188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473129/
https://www.ncbi.nlm.nih.gov/pubmed/34577392
http://dx.doi.org/10.3390/s21186188

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