A system is developed for remote monitoring of the condition of industrial products (vehicles) and detection of their incorrect operation. This system is a

An analysis is given and proposals are presented to increase the level of maintenance during the implementation of Federal Law No. 297-FZ by improving the testability and adaptability to diagnosing resource-determining units of domestic energysaturated equipment.

The article presents a technique for continuous monitoring of the technical condition of energy-saturated agricultural machinery (SHT) using digital technologies, aimed at introducing new intelligent methods for diagnosing machines in the agro-industrial complex. It is noted that the main task of the digital monitoring system is to analyze the effective operation of equipment. The proposed neural network can continuously receive data on the technical condition of agricultural machinery in real time, analyzes and structures input values, such as engine speed, hourly fuel consumption, coolant temperature, which depend on the load and operating modes of the machine engine. The advantage of the digital method of monitoring the parameters of the technical condition is its assessment in the process of diagnosing in real time. The method allows to determine not only the cause of engine failure, but also to evaluate the efficiency of complex energy-saturated agricultural machinery in general. The developed architecture of the neural network is capable of analyzing and transmitting data obtained during the diagnostic process to a special server for storing information. The proposed method for continuous monitoring of the technical condition of complex energy-saturated equipment according to controlled parameters, based on the use of neural networks, can be quickly adapted to different brands of equipment when diagnosing.

The existing strategies of maintenance and repair are discussed and a new strategy based on the control of the residual life is presented. It is assumed that in the future, the main maintenance and repair operations will be focused on minimizing this residual life, i.e. on the increase in the service life. It is proved that this maintenance organization strategy for the maintenance and repair optimization allows minimizing the flow of random failures of components during operation and increasing their service life (for a group of the same components) to a maximum. The work on the selection and justification of the life parameters controlled in this strategy has been performed.

Wear is the leading cause of nozzle failure. The durability of the nozzle is affected by the material it is made from. Traditional materials are ceramics, stainless steel, brass, and polymers. One of the possible ways to improve the wear resistance of polymer nozzles is through the incorporation of dispersed fillers into them. This paper presents the results of testing polymer composites for their chemical resistance to pesticides, examining the effects of different types and amounts of fillers on the chemical and abrasion resistance. When silicon carbide was used as a filler, the strength increased by 30.2%. The experiments on chemical resistance to pesticides revealed that the nature, shape, and volume content of filler particles do not significantly affect the resistance of the compounds obtained. Tests on hydro-abrasive wear have shown that graphite and silicon carbide are effective fillers capable of reducing wear by up to 7.5 times. Based on previous research, it is recommended to use a composite compound with 15% volume of silicon carbide for nozzle manufacturing.

Data are presented on the study of the concept of a 3D farm in production, as well as an assessment of the possibilities and prospects for using this concept in the agribusiness based on real cases performed using the material and technical base of the Federal Scientific Agroengineering Center VIM. The main advantages and disadvantages of 3D printing were identified, the world experience in the use of additive technologies, as well as 3D printing and 3D scanning sites using technical base of the Federal Scientific Agroengineering Center VIM, both in the manufacture of prototypes and mock-ups, and products for the repair of agricultural machinery and equipment, weas studied. Further prospects for the use of 3D farms at repair enterprises are determined.