Publisher： Edp Sciences
E-ISSN： 2261-236x|224|issue|02059-02059
ISSN： 2261-236x
Source： MATEC Web of conference, Vol.224, Iss.issue, 2018-10, pp. : 02059-02059
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Abstract
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.
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