Metrological Evaluation of Optical Fiber Grating-Based Sensors: An Approach Towards the Standardization

This paper discuss a set of tools for metrological evaluation of optical fiber grating sensors, including uncertainty analysis of the measurements. Background and definitions about basic specifications of the optical fiber grating sensors, such as response curve, calibration curve, sensitivity, resolution, repeatability, reproducibility and conformity are presented. Besides, the paper proposes the procedures to identify, quantify, and express uncertainties in optical fiber grating sensor measurements based on the International Standard Organization's Guide to the Expression of Uncertainty in Measurement. In order to illustrate the application of the approach, two fiber grating measuring systems were evaluated under the light of the methodology. The proposed route is a pragmatic step towards the standardization of optical fiber sensors.

[1]  R. Narayanaswarny,et al.  Optical sensors , 2005, 2005 Asian Conference on Sensors and the International Conference on New Techniques in Pharmaceutical and Biomedical Research.

[2]  Jian-Neng Wang,et al.  Error Analysis and Measurement Uncertainty for a Fiber Grating Strain-Temperature Sensor , 2010, Sensors.

[3]  R. Kashyap.  Fiber Bragg Gratings , 1999 .

[4]  Shellee D. Dyer,et al.  Key metrology considerations for fiber Bragg grating sensors , 2004, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[5]  W. Marsden.  I and J , 2012 .

[6]  J E Decker,et al.  Uncertainty evaluation for the measurement of gauge blocks by optical interferometry , 1997 .

[7]  R. W. Herschy,et al.  The uncertainty in a current meter measurement , 2002 .

[8]  A. Méndez.  Fiber Bragg grating sensors: a market overview , 2007, European Workshop on Optical Fibre Sensors.

[9]  Wolfgang R. Habel.  Standards and guidelines: Could they enhance user confidence in fiber sensor technology? , 2007, European Workshop on Optical Fibre Sensors.

[10]  José Henrique Buchmann,et al.  O conceito de incerteza aplicado aos processos de medição associados à preparação de uma solução de referência para calibração , 2002 .

[11]  Hypolito José Kalinowski,et al.  Radial-basis function network for the approximation of FBG sensor spectra with distorted peaks , 2006 .

[12]  Reinhardt Willsch,et al.  Optical fiber sensor research and industry in Germany: review and outlook , 2011, International Conference on Optical Fibre Sensors.

[13]  Lauri Jalukse,et al.  Model-based measurement uncertainty estimation in amperometric dissolved oxygen concentration measurement , 2007 .

[14]  Wilmar Hernandez,et al.  Measurement Uncertainty Estimation of a Robust Photometer Circuit , 2009, Sensors.

[15]  Peter Kratzer,et al.  Strain calibration of optical FBG-based strain sensors , 2010, European Workshop on Optical Fibre Sensors.

[16]  Kin Seng Chiang,et al.  Analysis of etched long-period fibre grating and its response to external refractive index , 2000 .

[17]  Shellee D. Dyer,et al.  Fundamental limits in fiber Bragg grating peak wavelength measurements (Invited Paper) , 2005, International Conference on Optical Fibre Sensors.

[18]  Marcia Muller,et al.  Application of a long-period fibre grating-based transducer in the fuel industry , 2009 .

[19]  S. James,et al.  Optical fibre long-period grating sensors: characteristics and application , 2003 .

[20]  Raghu N. Kacker,et al.  Review Article: Uncertainty analysis of remote sensing optical sensor data: guiding principles to achieve metrological consistency , 2010 .

[21]  Brian Culshaw.  Fibre optic sensor technology: An engineering reality or a scientific opportunity? , 2010, European Workshop on Optical Fibre Sensors.

[22]  Hypolito José Kalinowski,et al.  Fiber optic sensors for hydrocarbon detection , 2005 .