Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Parallel structured optical fiber in-line Fabry–Perot interferometers for high temperature sensing

Not Accessible

Your library or personal account may give you access

Abstract

We propose and demonstrate parallel structured optical fiber in-line Fabry–Perot interferometers for high temperature sensing. The device consists of three Fabry–Perot cavities in parallel connection, which allows three independent fringe patterns superimposed at its output, and, as a result, a number of dominant fringe peaks/dips appear, thus enabling unambiguous measurement in a large range. The device is featured with compact size, robust structure, and excellent high temperature sustainability, which makes it promising in extreme environment monitoring.

© 2020 Optical Society of America

Full Article  |  PDF Article
More Like This
Optical fiber surface waveguide with Fabry–Perot cavity for sensing

Qi Chen, D. N. Wang, Gao Feng, Q. H. Wang, and Y. D. Niu
Opt. Lett. 45(22) 6186-6189 (2020)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (8)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (2)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.