Neural network demodulator for optical Bragg strain sensors

Author

Rohit Dua, Missouri University of Science and TechnologyFollow

Abstract

"The reflection spectrum of a Bragg optical grating has a center wavelength defined by grating parameters. As strain sensors, Bragg gratings provide an absolute measure of strain and have excellent multiplexing capability. The change in the output of a Bragg grating for applied strain is characterized by a linear shift the Bragg grating center wavelength. Other parameters can be associated with shift in Bragg wavelengths such as temperature. The complexity of conventional demodulation systems is much greater for optical fiber sensors based on spectral changes rather than irradiance changes. Hence, commercially-available demodulators for Bragg sensors can be expensive over those for irradiance-based sensors such as Fabry-Perot Interferometric sensors. This study looks into the development of Artificial Neural Network (ANN) based demodulation system for Bragg strain sensors that can bring down the costs of its instrumentation significantly"--Abstract, page iii.

Advisor(s)

Wunsch, Donald C.
Watkins, Steve Eugene, 1960-

Committee Member(s)

Beetner, Daryl G.
Chandrashekhara, K.
Sarangapani, Jagannathan, 1965-

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 2006

Pagination

xi, 127 pages

Note about bibliography

Includes bibliographical references (pages 122-126).

Rights

© 2006 Rohit Dua, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Subject Headings

Demodulation (Electronics)Neural networks (Computer science)Optical fiber detectorsOptoelectronic devices

Thesis Number

T 9012

Print OCLC #

85895792

Recommended Citation

Dua, Rohit, "Neural network demodulator for optical Bragg strain sensors" (2006). Doctoral Dissertations. 1674.
https://scholarsmine.mst.edu/doctoral_dissertations/1674