Measurement uncertainty of 7-core multicore fiber shape sensors

Ignazio Floris; Jose M. Adam; Pedro A. Calderòn; Salvador Sales

doi:10.1117/12.2539421

28 August 2019 Measurement uncertainty of 7-core multicore fiber shape sensors

Ignazio Floris, Jose M. Adam, Pedro A. Calderòn, Salvador Sales

Proceedings Volume 11199, Seventh European Workshop on Optical Fibre Sensors; 111992Q (2019) https://doi.org/10.1117/12.2539421
Event: Seventh European Workshop on Optical Fibre Sensors, 2019, Limassol, Cyprus

Abstract

Fiber optic shape sensing is innovative technology, which enables distributed structural health monitoring, providing real-time feedback on shape and position, based on smart sensors arrays, which consists of optical fiber bundles or multicore fibers with embedded strain sensors. This paper describes a numerical analysis carried out to identify the effects of uncertainty in strain measurement and core position on the accuracy of fiber optic shape sensors, taking into consideration one of the most utilized geometry for fiber optic sensing applications, the seven-core Multicore Fiber, and distinct values of core spacings (distance between outer cores and sensor axis). The Monte Carlo Method was employed to simulate the real measurement process and one million of iterations were performed for each simulation with the aim of defining the laws of uncertainty propagation. The results of this study demonstrate the influence of core position uncertainty, strain measurement resolution and core spacing on optical shape sensors accuracy and can support the design of new sensors, predicting the achievable performance.

Citation Download Citation

Ignazio Floris, Jose M. Adam, Pedro A. Calderòn, and Salvador Sales "Measurement uncertainty of 7-core multicore fiber shape sensors", Proc. SPIE 11199, Seventh European Workshop on Optical Fibre Sensors, 111992Q (28 August 2019); https://doi.org/10.1117/12.2539421

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available