Issue |
MATEC Web Conf.
Volume 332, 2021
19th International Conference Diagnostics of Machines and Vehicles “Hybrid Multimedia Mobile Stage”
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Article Number | 01013 | |
Number of page(s) | 13 | |
DOI | https://doi.org/10.1051/matecconf/202133201013 | |
Published online | 06 January 2021 |
Systems of vibration parameters automated control for diagnostics of equipment technical state
1 Khmelnitsky National University, Instytutska Street 11, Khmelnytskyi, 29000, Ukraine
2 UTP University of Science and Technology, Faculty of Mechanical Engineering, Al. prof. S. Kaliskiego 7, Bydgoszcz, 85-796, Poland
3 Belarusian National Technical University, 220013 Minsk, Nezavisimosti, 65, Belarus
* Corresponding author: gsl7@ukr.net
The article deals with the issues of the spatial direction of measurement, which is optimal in terms of recognition of the state of a particular unit node and preparation of control points for diagnosis. To form a diagnostic feature, the representation of the signal in a rather narrow range has been used, for instance, in the area of one of the harmonics of the fundamental mechanism excitation frequency. To process such signals, an integrated programming environment developed in the style of Microsoft Visual products has been created. To ensure the requirements of optimal vibration analysis, the structure of stationary equipment control systems has been proposed. Analysis of random vibration of the diagnosed object is done using real-time two-channel analyzers. Each analyzer channel has a processor for fast Fourier transform and operational information. The two available channels can allow assessment of the state of the object by special correlation functions. In contrast to the known methods, the established methods of determining the frequency range of defects of various light industry machine nodes differ in taking account size of parts and equipment nodes, and the possibility to use narrow-band filtering. The analysis of possibilities to install vibration sensors has been carried out.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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