Intrinsic Optical Fiber Sensor

Lecler, Sylvain; Meyrueis, Patrick

doi:10.5772/27079

Cited by 8 publications

(14 citation statements)

References 25 publications

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“…Due to many advantages, namely the easy integration into a wide variety of structures, the high resistance to severe radiation environments, their small size and their immunity to electromagnetic and chemical interference, as well as their and remote sensing capabilities, fiber optic dosimeters (FOD) are good candidates to be operated as stand-alone devices, avoiding handling problems, but also ensuring safe operation conditions in ionizing radiation environments [3,4]. Proved to be essential in several application fields, such as clinical applications, sterilization of products and food industry, among others, the success of fiber optics applications are linked to their excellent linearity in high temperature environments, adequate mass absorption coefficients and tissue-equivalent characteristics, among others [5,6]. On the other hand, the adequacy of optical fibers to act as intrinsic sensors for monitoring high doses of gamma radiation for industrial and nuclear applications is well known, as well as their use for real-time motorization of low doses of ionizing radiation, such as x-ray and gamma rays [7].…”

Section: Introductionmentioning

confidence: 99%

Real-time dosimeter targeted to nuclear applications

Correia

Rosa

Santos³

et al. 2014

SPIE Proceedings

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An intrinsic fiber optic dosimeter (FOD) targeted to nuclear applications is presented. The proposed real-time dosimeter provides dose information based on the historic record over time of the effects of ionizing radiation on single-and multimode pure silica fibers, and also on PMMA plastic fibers. The effect of 60 Co gamma irradiation on optical links based on silica and plastic fibers were assessed, considering thermal environment effects over a wide range of variation of the operating parameters. Cerenkov radiation and radiation-induced absorption effects were in focus. The corresponding distortion and spectral transmission degradation were evaluated over wide range of the operating parameters. Radiation induced attenuation (RIA) has shown a spectral band dependent behaviour up to 840 Gy dose levels. The performance of different fibers was assessed against the performance of non-irradiated fibers. From the measurements of dose rate and total dose imparted by ionizing radiation in the fibers we verified that fibers with radiation resistance issues showed wavelength-dependent radiation sensitivity increasing with dose rate. Upon evaluation of correlations between the total dose, the induced loss at various dose rates and different wavelengths, it was concluded that intrinsic fiber dosimeters can be used for dose rates in the range 4 -28 Gy/min., typical of severe radiation environments.

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Section: Introductionmentioning

confidence: 99%

Real-time dosimeter targeted to nuclear applications

Correia

Rosa

Santos³

et al. 2014

SPIE Proceedings

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“…Typical sensors utilized for OLM are embedded (intrinsic optical fiber) and surface mounted (strain gauges) strain sensors [ 12 , 13 ]. These sensors should be placed in critical points (places of expected stress and strain accumulations).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Machine Learning Algorithms for Structure State Prediction in Operational Load Monitoring

Mucha

2020

Sensors

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The aim of operational load monitoring is to make predictions about the remaining usability time of structures, which is extremely useful in aerospace industry where in-service life of aircraft structural components can be maximized, taking into account safety. In order to make such predictions, strain sensors are mounted to the structure, from which data are acquired during operational time. This allows to determine how many load cycles has the structure withstood so far. Continuous monitoring of the strain distribution of the whole structure can be complicated due to vicissitude nature of the loads. Sensors should be mounted in places where stress and strain accumulations occur, and due to experiencing variable loads, the number of required sensors may be high. In this work, different machine learning and artificial intelligence algorithms are implemented to predict the current safety factor of the structure in its most stressed point, based on relatively low number of strain measurements. Adaptive neuro-fuzzy inference systems (ANFIS), support-vector machines (SVM) and Gaussian processes for machine learning (GPML) are trained with simulation data, and their effectiveness is measured using data obtained from experiments. The proposed methods are compared to the earlier work where artificial neural networks (ANN) were proven to be efficiently used for reduction of the number of sensors in operational load monitoring processes. A numerical comparison of accuracy and computational time (taking into account possible real-time applications) between all considered methods is provided.

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“…It is widely accepted that initial OFS designs were fragile, reliable only under laboratory conditions and with material costs higher than those used in other sensor technologies [6,7]. They were also difficult to produce and this limited their ability for practical use.…”

Section: Introductionmentioning

confidence: 99%

Plastic Optical Fibre Sensor System Design Using the Field Programmable Gate Array

Ong¹,

Grout²,

Lewis³

et al. 2018

Selected Topics on Optical Fiber Technologies and Applications

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Extrinsic optical fibre sensor (OFS) systems use a fibre optic cable as the medium for signal propagation between the sensor and the sensor electronics using light rather than electrical signals. A range of different optical fibre sensors have been developed and electronic hardware system designs interfacing the sensor with external electronic systems devised. In this chapter, the use of the field programmable gate array (FPGA) is considered to implement the circuit functions that are required within a portable optical fibre sensor system that uses a light emitting diode (LED) as the light source, a photodiode as the light receiver and the FPGA to implement the system control, digital signal processing (DSP) and communications operations. The capabilities of the FPGA will be investigated and a case study sensor design introduced and elaborated. The OFS system will be based on the FPGA and will provide wireless communications to an external supervisory system. The chapter will commence with an overview of OFS systems and the typical architecture of the system. Then the FPGA will be introduced and discussed as a hardware alternative to a software programmed processor that is currently widely used. A case study will then be presented with a discussion into design considerations.

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Intrinsic Optical Fiber Sensor

Cited by 8 publications

References 25 publications

Real-time dosimeter targeted to nuclear applications

Real-time dosimeter targeted to nuclear applications

Comparison of Machine Learning Algorithms for Structure State Prediction in Operational Load Monitoring

Plastic Optical Fibre Sensor System Design Using the Field Programmable Gate Array

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