Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 39,
  • Issue 14,
  • pp. 4861-4872
  • (2021)

Three-Dimensional Topological Reconstruction of the Sensing Coil of a Fiber-Optic Gyroscope Using X-Ray Computed Tomography

Open Access Open Access

Abstract

The quadrupolar winding of the sensing coil of a fiber-optic gyroscope (FOG) is a useful technique to reduce the thermal bias drift of this sensor. This technique, which is based on orthocyclic winding, contains complex non-axisymmetrical zones, for example layer transitions or crossovers. In this paper, a precise topological reconstruction of the sensing coil is proposed using X-ray computed tomography. Thanks to this reconstruction, the first layer role and its impact on the next layers are studied. Then, the quality of the winding is quantified using interest parameters to evaluate crossovers and layer transition fibers. Finally, winding defects, particularly the propagation of gaps from layer to layer that causes sinking fibers, are highlighted.

PDF Article
More Like This
Analysis of sensing coil polarization properties’ effect on performance of fiber optical gyroscope

Xiaobin Xu, Xiong Pan, and Jingming Song
Appl. Opt. 51(5) 621-625 (2012)

Three-dimensional iterative multislice reconstruction for ptychographic X-ray computed tomography

Kei Shimomura, Makoto Hirose, Takaya Higashino, and Yukio Takahashi
Opt. Express 26(24) 31199-31208 (2018)

Computed tomography from optical projections for three-dimensional reconstruction of thick objects

Carl S. Brown, David H. Burns, Francis A. Spelman, and Alan C. Nelson
Appl. Opt. 31(29) 6247-6254 (1992)

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.


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.