No. 7

Abstracts. No. 7, 2023 year
 
ABSTRACTS
Biryukov S.V. (e-mail: sbiryukov154@mail.ru)
Prerequisites for creating a device for electric field strength measurements with the determination of the error of the measurement result

A new solution for constructing a device for measuring the electric field strength with the determination of the error of the measurement result is proposed. The device is based on a dual-type sensor, which makes it possible to reduce the error and expand the spatial range of measurement and makes it possible to instrumentally determine the measurement error from two simultaneously measured at one point values of tension obtained with errors of different signs. The ability of the device to instrumentally determine the error of the measurement result is considered for the first time.

Keywords: device, sensor, measurement method, electric field strength, dual sensor, instrumental error estimation.

Shcherbakov G.N., Rychkov A.V., Zinevich N.N., Efremov I.A., Prohorkin A.G. (e-mail: zinnik89@mail.ru)
A new method for evaluating the barriers efficiency

A new method for evaluating the barrier properties through the transformation of an electromagnetic wave into an acoustic one is substantiated. An experiment was carried out to prove the efficiency of this method. A device has been developed for the practical implementation of this method for evaluating barrier properties.

Keywords: electromagnetic shielding, influence of material on shielding properties, methods for evaluating shielding properties, shielding efficiency.

Lebedev V.A., Suminov K.A. (e-mail: lebedev@vadim711.ru)
Application of texture analysis methods for solving technical vision problems of robotic complexes based on Elbrus microprocessors

The purpose of the work is to review traditional methods of textural analysis, study and conduct comparative analysis. Experimental tests were carried out on the basis of various hardware solutions to determine the effective applicability of the Elbrus software and hardware environment for solving computer vision problems. Textural analysis approaches were described, observations were made, results were compared for each of the algorithms, and conclusions were drawn.

Keywords: texture analysis, microprocessor Elbrus, technical vision, computing tools.

Shchepetov A.G., Shimereva L.V. (e-mail: a-shchepetov@mail.ru)
About the new Vyshnegradsky diagram

The application of the modified Vyshnegradsky diagram is considered to illustrate the influence of the parameters of the transfer function of third-order measuring devices on the dynamic accuracy of these devices.

Keywords: synthesis, dynamic accuracy indicators, Vyshnegradsky diagram.

Maiorov E.E., Borodyansky Y.M., Dagaev A.V., Kurlov V.V., Tayurskaya I.S. (e-mail: majorov_ee@mail.ru)
Investigation of color diffuse reflectors using a laboratory colorimetric installation

The work to the study of color diffuse reflectors using a laboratory colorimetric installation is devoted. Colorimetric devices and systems based on optoelectronic components have a simple design and relatively small weight and dimensions, low cost compared to similar devices using spectrophotometers, so the work is promising and relevant. The article presents the formulation of the problem and defines the method and object of research. The appearance and structural and functional scheme of the laboratory calorimetric installation are given, as well as technical characteristics are given. Photometric parameters of the studied diffuse reflectors were obtained, and a laboratory colorimetric installation using three-element diodes fully provided measurements of these parameters at the level of visually distinguishable shades of color.

Keywords: laboratory colorimetric installation, color diffuse reflector, reference values, analyzer, radiation wavelength, light emitting diode, photodiode.

Nadezhdin I.S., Emelyanov A.M., Goryunov A.G. (e-mail: kun9@tpu.ru)
Application of artificial neural networks for processing noisy signals in liquid flow measurement channels

The article presents a method for digital processing of noisy measuring signals, which makes it possible to improve the accuracy of measuring fluid flow in measuring channels with orifice flowmeters. The proposed method for processing measurement signals is based on a nonlinear autoregressive neural network. The structure of the used neural network and the algorithm for its training are selected depending on the characteristics of the measuring signal and noise interference. The article shows that the proposed method makes it possible to obtain a true measuring signal from a noisy signal with high accuracy. In this case, white noise was used as noise interference. The filtered signal has an error of no more than 0.02 %.

Keywords: artificial neural network, measuring signal, signal processing, measurement channel, orifice device, differential pressure, flow meter.

Bulatov V.V. (e-mail: bulatov-vitaly@yandex.ru)
Methods for testing passenger car windows

One of the important stages of the life cycle of a technical system is the organization and conduct of tests. At present, test benches and equipment must provide a high degree of accuracy of the results, the possibility of partial or complete automation of the testing and processing of the data array obtained from the measurements. The article considers methods for testing the windows of passenger cars operated on the territory of the Russian Federation. The classification of window systems and the criteria for their performance are considered. The classification of possible malfunctions of windows during operation is given. The windows of passenger cars are subjected to a set of full-scale tests: sprinkling, climatic tests, tests for vibration resistance and shock loading. The article pays special attention to the organization of bench tests. Schemes of stands for sprinkling, testing for the effects of variable pressure and vibrations are presented.

Keywords: passenger car, windows, bench tests, performance, sprinkling, variable pressure, vibration resistance.

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