Publication: Vector-based pattern recognition algorithm for interferometric fiber sensor-signals analysis
Date
Authors
Director
Publisher
Project identifier
Impacto
Abstract
A vector-based pattern recognition algorithm (V-PRA) for interferometric fiber sensor (IFS) signals is introduced. The proposed V-PRA transforms sensed interferometric signals into vectors to identify them by calculating the angular similarity with reference database vectors. This process accurately recognizes sensing patterns and assigns corresponding physical parameter values. The algorithm’s performance was tested in various IFS systems, including Fabry-Perot interferometers for refractive index measurement, multimode IFS for bending and strain monitoring, and multicore IFS for temperature monitoring. Experimental results confirm the effectiveness of the V-PRA as a specialized tool for IFSs.
Description
Keywords
Department
Faculty/School
Degree
Doctorate program
item.page.cita
item.page.rights
© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.
Los documentos de Academica-e están protegidos por derechos de autor con todos los derechos reservados, a no ser que se indique lo contrario.