Spectral Reconstruction and Bayesian Model Framework for Characterization of Long Period Fiber Gratings

• Tipo: Artigo em Revista Científica Internacional
• Data: 2021

Autores

Dias, B (Autor) Outra; Santos, P (Autor) Outra; Jorge, PAS (Autor) FCUP; de Almeida, JMMM (Autor) FCUP; Coelho, LCC (Autor) FCUP

Revista

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Título: IEEE Instrumentation and Measurement Magazine

Vol. 24

Páginas: 56-62

ISSN: 10946969

Editora: Institute of Electrical and Electronics Engineers (IEEE)

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00V-8AC

DOI: 10.1109/mim.2021.9491007

Abstract (EN): The use of Long-Period Fiber Gratings (LPFGs) as sensors has been thoroughly researched, given the multitude of parameters these structures can monitor by themselves (such as temperature, strain, curvature) and the potential for combination with other materials that allow for monitoring of parameters such as humidity, pH and chemical concentration, at a low price and with easy fabrication processes available. This interest has increased the need for the development of interrogation systems for these sensors, particularly in the C-band spectral region. Given the cost and physical limitations (such as size and weight) of traditional solutions like Optical Spectrum Analyzers (OSA), the development of low-cost approaches for LPFG spectral analysis became an important topic that needed further development. The development of a simple curve fitting routine for LPFG spectra is reported in this article, along with a framework for automatic detection of certain physical phenomena such as corrosion and the presence of chemical species, among others.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7