Today the vibrodiagnostic method achieves the highest efficiency and manufacturability for the operation of the technical condition of the technological equipment of the agro-industrial complex. At the same time, this method is one of the most modern methods of technical diagnostics, indicating the kinematic warehouses of diagnostic objects. Vibration analysis is a fundamental tool for diagnostic monitoring of bearings. The vibration signal of defective rolling bearings and its spectrum contain characteristic features by which it is possible to fairly correctly identify the type and location of the defect. At the moment the defective element passes through the loaded zone of the rolling bearing, a pronounced peak, an energy impulse, appears in the vibration. Thus, when a bearing with internal defects is operating, characteristic components appear in vibration - harmonics with natural frequencies, the numerical values of which can be calculated using theoretical formulas using the geometric dimensions of the bearing elements and the rotor speed of the mechanism. In a loaded bearing, four characteristic frequencies can be distinguished that are used for diagnostics - the frequency of the outer bearing cage, the frequency of the inner cage, the cage frequency and the rolling element frequencies. The complexity of the analysis of vibration signals of rolling bearings for the purpose of their diagnostics lies in the fact that the signs of a defective bearing are distributed over a wide range of frequencies, have low vibrational energy and are somewhat random in nature. In addition, the vibration signal is, of course, removed from the body of the equipment containing the bearing, and therefore contains not only information useful from the point of view of bearing diagnostics, but also noise - vibrations produced by other parts of the mechanism. The analysis of methods for diagnosing bearing defects based on wavelet analysis of their vibration signals allows us to single out the most promising direction, which consists in the fact that the bearing vibration signal is decomposed into coefficients using wavelet analysis, after which the most significant coefficients are selected from these coefficients.
Waste recycling is now gaining in importance around the world. The range of drugs used, the volume and degree of danger of waste generated by the activities of industrial institutions is increasing. As a result, the risk of epidemics increases. Therefore, the creation of an effective design of the furnace as the main unit of the pyrolysis unit is an urgent task. The purpose of the furnace environment is to create in the working chamber the necessary and optimal physical and chemical conditions for the implementation of thermotechnological, thermotechnical and mechanical processes and protection of raw materials and obtained target products from unwanted chemical processes. The following substances are used as heat extraction reagent: air, inert and recirculating gases, water, steam, etc. If necessary, a slow decrease in temperature, cooling of materials and products is carried out together with the oven. Heat transfer processes in the waste disposal plant take place in difficult conditions and are characterized by a number of specific features. One of the main features is the high intensity of heat transfer. Another feature of thermal processes is the non-stationary temperature field in the working chamber of the furnace. Heat exchange in the working chamber of the furnace is carried out in three types - thermal conductivity, convection and thermal radiation, any combination of them or all types simultaneously, but one type of heat transfer always prevails over others in full or in a certain area of the furnace.
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