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

• Type: Article in International Scientific Journal
• Date: 2021

Authors

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

Journal

The Journal is awaiting validation by the Administrative Services.

Title: IEEE Instrumentation and Measurement Magazine

Vol. 24

Pages: 56-62

ISSN: 10946969

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 2 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7