The article is devoted to issue of technical diagnostics of oil and gas pumping equipment. The article presents modern problems in the diagnosis of equipment that is in operation. Three trends are presented, formulated at the moment by the global situation in industry. The first is the relevance of the transition of equipment maintenance from a system of scheduled preventive repairs to maintenance according to the actual technical condition. The second is the current trend towards automation and digitalization, which is completely impossible using the currently used diagnostic methods. Also relevant are those methods of technical diagnostics that can be used within the framework of unmanned technologies for the operation of objects. The third is the need to search for and develop new approaches to obtaining initial information for technical diagnostics. The main sources of information at the moment are the vibration values on the surface of the equipment, the general parameters of the unit, and the temperature. Less often - acoustic parameters, information on the oil condition, electrical parameters of the electric drive. All these methods are more or less indirect, which reduces the accuracy when used, complicates automation, requires experienced experience and often highly qualified specialists. In this regard, the authors are developing a new method of equipment diagnostics that uses force measurements at certain points of the equipment using three-axis strain gauge sensor. By processing measurements in real time, according to the mathematical models developed in the article, it is possible to determine the exact coordinates of the source of vibrations in space, in other words, the defective node. Together with the information about the frequency and intensity of vibrations, it is possible to identify the defect with high accuracy. The models are considered and the corresponding formulas for determining the location are obtained in the case of installing equipment on four supports, and when using a frame foundation.
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