Digital monitoring system of equipment for the analysis of fuel and lubricants quality

УДК 622.276.8

DOI: 10.32758/2071-5951-2021-1-4-54-59

Nigmatullin V. R.,1 Nigmatullin I. R.,1 Nigmatullin R. G.,2 Migranov A.M.2

(1Ufa State Petroleum Technical University (UGNTU), Ufa State Aviation Technical University (UGATU))

Цифровая система мониторинга техники по анализу качества смазочных материалов

Keywords: digital monitoring system; lubricants; quality; performance; defects; monitoring, equipment.


Currently, to increase the efficiency of industrial production, high-performance and expensive technological equipment is increasingly used, in which the weakest link, from the point of view of efficiency and reliability, is the components and parts of heavily loaded tribo – couplings operating both at significantly different temperatures (conditionally under lighter conditions, the temperature difference can be 100-120 degrees) and climatic conditions (high humidity, the presence of abrasives and other chemical elements in the atmosphere). As the results of the analysis of the frequency of failures of friction units and, accordingly, the cost of their restoration reach 9-20 percent of the cost of all equipment, without taking into account significant losses of income (profit) of the enterprise from downtime. The solution of this problem is based on the study of the wear rate of friction units by the wear products accumulated in working oils, cooling lubricants, and greases. A digital equipment monitoring system (DSMT) has been developed and implemented, which includes dynamic recording of the number of wear products and oil temperature by original modern recording devices, followed by the technology of their processing and use. The system also includes methods for finding the necessary information in large data sets useful and necessary in theoretical and practical terms with a similar technique controlled by a digital monitoring system. The advantages of SMT are the ability to predict the reliability of the equipment; reduce production risks and significantly reduce inefficient costs.