Abstract

The prerequisites for the formation and development of technical diagnostics as a science contain several stages, starting from the appearance of the first mechanisms, and then steam engines. The use of organoleptic methods for assessing the state (listening to noise, tactile analysis, visualization of mechanical vibrations, etc.), in addition to the developed safety devices and readings of instruments for measuring speed, pressure, temperature, ensured the functioning of mechanisms until the middle of the twentieth century. The emergence of complex technical systems associated with the implementation of atomic, space and other projects required ensuring their reliability with an insufficient level of data, which became the main reason for the emergence of technical diagnostics as a science. When determining the state of mechanical equipment, vibration has always been the main diagnostic parameter, but only with the development of microprocessor technology and computer technology has it become possible to obtain objective data. The complication of equipment and control systems leads to the emergence of new levels of obtaining and collecting diagnostic data, which is reflected in the appearance of large amounts of data and the need to form information flows for effective management of the technical condition of the equipment. Pattern recognition methods, after adapting to specific practical situations, allow you to get good results after laborious work by highly qualified specialists.

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