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Instruments and Systems: Monitoring, Control, and Diagnostics

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The industrial information-measuring spectrometric system for components identification and evaluation of the fuel knock resistance
V.A. SOLOVEV, A.A. SHCHERBA KOVA

The authors suggest an industrial information-measuring spectrometric system for components identification and determination of the composition and fuel knock resistance on line on the artificial neural networks principles. Spectrometric system includes an IR spectrometerconnected flow cell by means of optical fiber. System configuration options are a system with the spectrometer in each measurement channel, a system with optical multiplexing measuring channels and hydraulic multiplexed measuring channels. Identification components and composition determine is carried out by the values of the spectral absorption coefficients of the analyzed components, and spectral absorption coefficients of fuel. The authors developed artificial neural networks efficiency function, structure and activation function, which identifies fuel components, calculating the synaptic coefficients values. Industrial spectrometric information-measuring system will help to ensure the accuracy of the components identification included in the fuel composition, increase the accuracy of determining the composition and knock resistance.
Keywords: information-measuring system, identification, IR-spectrometer, flow cell, optical fiber, the spectral absorption coefficient, artificial neural networks, efficiency function, activation function, synaptic coefficient.

Contacts: E-mail: v.soloviev@bk.ru

Pp. 31-39.

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