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D-shape polymer optical fibres for surface plasmon resonance sensing

Gasior K., Martynkien T., Wojcik G, Mergo P., Urbanczyk W.

Opto-Electronics Review

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2017

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Vol. 25, No. 1

1--5

EN

We experimentally studied three different D-shape polymer optical fibres with an exposed core for their applications as surface plasmon resonance sensors. The first one was a conventional D-shape fibre with no microstructure while in two others the fibre core was surrounded by two rings of air holes. In one of the microstructured fibres we introduced special absorbing inclusions placed outside the microstructure to attenuate leaky modes. We compared the performance of the surface plasmon resonance sensors based on the three fibres. We showed that the fibre bending enhances the resonance in all investigated fibres. The measured sensitivity of about 610 nm/RIU for the refractive index of glycerol solution around 1.350 is similar in all fabricated sensors. However, the spectral width of the resonance curve is significantly lower for the fibre with inclusions suppressing the leaky modes.

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Światłowodowy czujnik polarymetryczny do pomiaru prądu

Ginter M.

Pomiary Automatyka Kontrola

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2011

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R. 57, nr 3

274-276

PL

W pracy przedstawiono światłowodowy czujnik polarymetryczny wykorzystujący efekt Faradaya zmieniający płaszczyznę polaryzacji światła liniowo spolaryzowanego pod wpływem oddziaływania płynacego prądu w przewodniku. Zaprezentowano wyniki analizy wpływu indukowanej dwójłomności w światłowodzie jednomodowym na podstawowe parametry opisujące polaryzacje na wyjściu czujnika prądu. Przedstawiono wyniki badań eksperymentalnych proponowanego rozwiązania. Podano charakterystykę przetwarzania i czułość czujnika dla prądu elektrycznego o częstotliwości sieciowej, określono niepewność czujnika w zakresie wartości skutecznych prądu, która jest nie większa niż 2%. Czujnik ten zastosowano do pomiaru prądu sinusoidalnie zmiennego o amplitudach od 0 do 700 A i o częstotliwości 50 Hz.

EN

In this paper a fiber-optic polarimetric current sensor using the Faraday effect changing the polarization plane of linear polarized light is presented. The analysis results of the impact of linear birefringence induced in a singlemode fiber on the basic parameters describing polarization at the current sensor output are described. For the analysis of the polarization state at the sensor output, the Jones matrices describing all the elements of the optical circuit were used. The sensor consists of an FSM633 He-Ne laser (of 633 nm wavelength) made by NewPort. The coil has 25 convolutions and diameter of 5 cm. The fiber optic was spun 15 times per meter (15 turns/m) to reject the linear birefringence which is induced as the result of flexing the fiber. The experimental investigations of the proposed solution were carried out on a measuring position specially constructed for this type of measurements in which alternating currents were generated by a short circuit transformer. The investigation results are given in the paper. The current was measured within the range from 0 to 700A. The characteristics of processing, the sensor sensitivity for the power frequency current and the sensor uncertainty within the range of efficient current values which is not higher than 2% are also presented in the paper.

3

Estimation of the air-fuel mixture ratio, based on the signal from the optical fibre interference sensor, using artificial neuron network

Kamiński T.

Journal of KONES

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2008

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Vol. 15, No. 2

153-158

EN

There are a lot of definitions for the "intelligence", however according to the Prof. Jan Strelau the intelligence can only be attributed to a human. Thus, programs or devices thought out by a man can only imitate intelligence. The phras - artificial neuron networks describes programs or electronic devices running mathematical models of pseudo parallel data processing, consisting of many interconnected neurons imitating actions of biological structures of a brain. The neuron networks are used, amongst other things, for the sound and picture recognition, for the predicting, objects classification, data analysis, matching and optimisation. This work describes construction of an artificial neuron network in use. The design and operation principles of a fibre optics interference side - hole sensor are presented for the pressure measurement inside the engine combustion chamber and the data range used during a „teaching" process of an artificial neuron network. The gas pressure in the engine combustion chamber carries a lot of information which can be used to characterize the working cycle process. Knowing the pressure curve it is possible to estimate the air-fuel mixture ratio, detect lack of mixture ignition in the cylinder, explosive knocking combustion, unevenness of the following engine working cycles and even estimate the combustion chamber walls' temperature. Construction of a sensor ensures high pressure sensitivity with a low temperature sensitivity. The measuring head has been placed in the threaded opening made in the engine cylinder head. The paper presents results for two examples of the air-fuel mixture ratio estimations using already developed network. In the first example the measurement data, used during the network educating process, has deliberately been changed at random by 3%. In the second case, the original measurement data has been used. This allowed the initial assessment of the measurement noise influence on the mixture content estimation using fibre optics pressure sensor, in the combustion chamber, combined with the artificial neuron networks. The mixture content estimation results, together with the data obtained during measurements using wide range oxygen sensor, which are presented on the diagram, allowed the conclusions to be formulated.