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High-Resolution FBG-Based Inclination Sensor Using Eigen Decomposition of Reflection Spectrum

Kumar Kinjalk, Amitesh Kumar, Abhinav Gautam

2020IEEE Transactions on Instrumentation and Measurement25 citationsDOI

Abstract

This article addresses the analysis and design of a high-resolution and temperature-insensitive inclination sensor using fiber Bragg grating (FBG). The sensor uses a pendulum-based structure with FBG attached to its cantilever arm. Initially, strain analysis of the proposed inclination sensor is carried out using the finite-element method (FEM) to optimize the structure and materials for its fabrication. Experimental analysis is carried out on the inclination sensors by varying the inclination angle, and its results are compared with the FEM-based results. The shift in Bragg wavelength of FBG due to the generated strain at the cantilever arm is observed on optical interrogator. To measure the subpicometer wavelength shift with enhanced resolution and lower uncertainty, eigen decomposition of the reflection spectrum using Karhunen-Loève transform (KLT) is implemented. The range of measurement of tilt angle is found to be 0°-3° with a resolution of 0.0008°. The satisfactory linearity of the measured angle versus true angle, excellent repeatability, and very high resolution validates the feasibility of the proposed inclination sensor.

Topics & Concepts

CantileverFiber Bragg gratingOpticsMaterials scienceFinite element methodReflection (computer programming)RepeatabilityWavelengthTilt (camera)Resolution (logic)LinearityOptical fiberPhysicsEngineeringStructural engineeringComputer scienceComposite materialProgramming languageQuantum mechanicsArtificial intelligenceChemistryThermodynamicsChromatographyAdvanced Fiber Optic SensorsPhotonic and Optical DevicesOptical Wireless Communication Technologies
High-Resolution FBG-Based Inclination Sensor Using Eigen Decomposition of Reflection Spectrum | Litcius