During mining equipment operation, great attention should be paid to durability and reliability increase of their units and assemblies, since the greatest number of equipment failures in Kuzbass mines occurs precisely because of the failure of excavators’ slewing gears. Today this very problem is relevant for coal mining enterprises. One of the ways to improve the reliability of gears is the introduction of additional technological processes to diagnose the mechanisms actual technical condition of an excavator-automotive complex. However, the equipment and methods used do not fully meet the requirements for a comprehensive analysis of the technical condition of gears. Thus, there is a strong need to develop a modern technique to diagnose assemblies, based on the parameters of the operating oil. With the help of experimentally identified dependencies of the oil temperature in a gear on the parameters of the operating oil, a mathematical model of the wear process of slewing gears rubbing parts was obtained; the mathematical model has the possibility to predict possible failures of excavators. The introduction of this model in production will significantly reduce the downtime of mining equipment in coal mines; it also will affect the reduction of total costs of enterprises.
One of the most important indicators of mining complexes are reliability and durability of their components. Studies have shown that the largest amount of mine dump truck down time occurs due to unforeseen failures of a motor-wheel gear. The introduction of additional technological processes to diagnose the actual technical condition of a gear in the maintenance procedure will make it possible to maintain directly the state of its component parts with in-place manner. The method of diagnosing the condition of a motor-wheel gear is based on physical and chemical analysis of oil, as well as its temperature control. During open pit machinery exploitation, various mechanical impurities of wear products of rubbing surfaces accumulate in the operating oil, so it is possible to predict the degree of wear of gear units and mechanisms based on these mechanical impurities. The introduction of this method in production will significantly reduce the down time of dump trucks, thereby increase the productivity of the enterprise and reduce repair costs.
Continuous plant operation is provided with machinery and equipment, which is in technically serviceable condition. Timely diagnostics of the actual technical condition of equipment and units components will allow avoiding unforeseen failures and making unscheduled maintenance or repair works. Thus, this technological operation will allow keeping the used equipment in work condition. Among the promising methods for diagnosing the actual technical condition of gearboxes of motor-wheels of open -pit dump trucks BELAZ, vibration, noise measurement and thermal methods are marked. However, it is necessary to apply mathematical methods of processing and modeling of wear processes for more accurate processing of the obtained parameters. Thus, not only the continuous operation of equipment is achieved by means of set of methods, but also the productivity of the coal mining complex increases by means of increasing the equipment resource.
At machine-building enterprises, serious attention is paid to the issue of improving the products quality. Noise and vibration are one of the main indicators that characterize the quality, comfort and reliability of machines, so the reduction of noise and vibration level is one of the most important scientific and technical problems of national engineering. Along with the economic aspects, the reduction of machine noise contributes to the ecological state improvement, as well as the working and living conditions of workers. Noise and vibration are one of the most common adverse factors that worsen working conditions in production, construction and transportation.
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