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

Fiber-Bragg-grating sensor systems

Not Accessible

Your library or personal account may give you access

Abstract

Fiber-Bragg gratings (FBGs) are proving to be suitable for providing the basis of a range of new fiber devices for use in both the fiber communications and sensing areas.1 In the communications field, current attention is directed in particular on the development of grating-based WDM devices and dispersion compensators, whereas in sensing, grating-based sensors are being developed for multipoint structural-strain monitoring systems and other embedded sensor applications. In such sensing applications, the inherently wavelength-encoded output of Bragg gratings has a number of distinct advantages over other sensing schemes. One of the most important of these is that because the sensed information is encoded directly into wavelength, which is an absolute parameter, the output does not depend directly on the total light levels, losses in the connecting fibers and couplers, or source power. Consequently, the sensor can easily be operated intermittently without the need for recalibration or reinitialization of the system. The wavelength-encoded nature of the output also facilitates WDM by assigning each sensor to a different slice of the available source spectrum. Additionally, TDM can be used to augment the WDM to improve the multipoint sensing capabilities.

© 1995 Optical Society of America

PDF Article
More Like This
Fiber Optic Bragg Grating Sensor Systems for Multi-point Distributed Strain Monitoring

Alan D. Kersey
PMB.1 Photosensitivity and Quadratic Nonlinearity in Glass Waveguides (PQN) 1995

A 60 Element Fiber Bragg Grating Sensor System

M. A. Davis, D. G. Bellemore, M. A. Putnam, and A. D. Kersey
Tu43 Optical Fiber Sensors (OFS) 1996

Fiber Bragg grating sensors for infrastructure sensing

M. A. Davis and A. D. Kersey
WL15 Optical Fiber Communication Conference (OFC) 1997

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.