Issue |
E3S Web of Conf.
Volume 525, 2024
IV International Conference on Geotechnology, Mining and Rational Use of Natural Resources (GEOTECH-2024)
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Article Number | 05021 | |
Number of page(s) | 11 | |
Section | Automation, Digital Transformation and Intellectualization for the Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202452505021 | |
Published online | 20 May 2024 |
Development of technology and methodology for monitoring the technical condition of metalcutting machines
1 Navoi State University of Mining and Technology, Navoiy, 210100, Uzbekistan
2 Tashkent State Technical University named after Islam Karimov, Tashkent, 100000, Uzbekistan
* Corresponding author: amamadiyarov09@gmail.com
This work was carried out with the aim of developing the basic provisions of an automated vibration monitoring system for metal-cutting equipment. The paper presents the theoretical foundations of vibration monitoring technology, which uses regular measurements of vibration parameters, their frequency analysis, and mathematical modeling of degradation processes in machines. Vibration monitoring technology allows to determine the time points necessary for repair and maintenance of equipment based on its actual condition. Applications of vibration monitoring are reducing losses associated with equipment failures and reducing maintenance and repair costs, as well as increasing the safety of work. The most relevant is the implementation of a vibration monitoring system when diagnosing the technical condition of bearings and gears (metal-cutting machines, hydraulic systems). As a result of the research, diagnostic models of changes in the technical condition of metal-cutting machines and vibration characteristics of typical defects were obtained. A method has been developed for assessing the dynamic quality of metalcutting machines using a complex quality indicator determined by measuring and analyzing the spectral characteristics of vibration signals.
© The Authors, published by EDP Sciences, 2024
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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