| Issue |
MATEC Web Conf.
Volume 224, 2018
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018)
|
|
|---|---|---|
| Article Number | 02059 | |
| Number of page(s) | 6 | |
| Section | General problems of mechanical engineering: design, optimization, maintenance | |
| DOI | https://doi.org/10.1051/matecconf/201822402059 | |
| Published online | 30 October 2018 | |
A method of predicting the time of failure of a rolling bearing
NNSTU named after R. E Alekseev, Nizhny Novgorod, Russia
* Corresponding author: polyakovigor92@gmail.com
This article considers the problem of predicting wear and breakage of machine components using rolling bearings. Any mechanism wears out over time and, accordingly, the risk of breakage increases. This creates the need for timely maintenance of worn out parts of machinery. The solution of the problem consists in the development of new models and methods for predicting the condition of bearings in the nodes and mechanisms. The developed methods, unlike known ones, should allow us to increase the accuracy of the residual resource prediction, working in the absence of accumulated statistics on faults. To solve the problem, it is proposed to use the theory of active perception, which allows solving problems associated with the use of known methods of pattern recognition.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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