Prediction of failures in agricultural machinery engines using digital technologies

KATAEV, YURIY V.; Zagoruiko, Mikhail Gennadyevich; Tishaninov, Igor Aleksandrovich; Gradov, Evgeniy Anatolievich

doi:10.28983/asj.y2022i2pp79-82

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…The tendency to increase the load on equipment entails an increase in the costs of maintaining it in good working order. Based on this, issues with highly efficient use of equipment throughout the entire life cycle, where technical problems associated with effectively increasing its operational reliability, including technical condition monitoring, are among the main ones in building the engineering and technical sphere of the agroindustrial complex [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Monitoring of the technical condition of individual resource units and units of utilized agricultural machinery

Kataev,

Mordasova,

Tishaninov

et al. 2023

E3S Web of Conf.

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The article presents the use of machine monitoring as an information basis for a control system for maintenance and repair processes, which improves the use of agricultural machinery and reduces the costs of its operation. Improving the planning and management of maintenance and repair of agricultural machinery based on modern technical means plays an important role in increasing its efficiency of use. It is noted that the use of diagnostic tools allows optimizing maintenance and repair processes. The main methods and means of determining the technical condition of the main units of agricultural machinery were used, such as: instrumental method, visual method, organoleptic methods, resource parameter, limit value of the parameter, structural parameters, technical condition parameters. The advantage of monitoring the technical condition of discarded agricultural machinery using a random check method is the determination of the residual life of individual components and assemblies of the machines.

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Section: Introductionmentioning

confidence: 99%

Monitoring of the technical condition of individual resource units and units of utilized agricultural machinery

Kataev,

Mordasova,

Tishaninov

et al. 2023

E3S Web of Conf.

View full text Add to dashboard Cite

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Online monitoring of the technical condition of energy saturated agricultural equipment using neural networks

et al. 2023

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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.

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DIAGNOSTICS OF INTERNAL COMBUSTION ENGINES, STATE AND PROSPECTS IN THE ENGINEERING SERVICE OF THE AGRO-INDUSTRIAL COMPLEX

Kataev,

Gerasimov,

Tishaninov

et al. 2023

Teh. serv. maš

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The paper presents the trends in the development of technical diagnostics in the engineering service of the agro-industrial complex, the most promising areas of its development. (Research purpose) The research purpose is analyzing the state of modern technical diagnostics in the engineering service of the agro-industrial complex, considering the development of new methods and technical diagnostic tools based on computer and information technologies. (Materials and methods) Modern information technologies, automated control and management systems were used during the research. The expansion of the range of devices and equipment to collect and proceed the information about the operational reliability of internal combustion engines of high-energy agricultural machinery allows for comprehensive research in the technical diagnostic. (Results and discussion) Authors used the integrated approach when conducting research in terms of developing methods of contactless diagnostics, assessing the level of maintenance using this diagnostic method, analyzing methods of contactless diagnostics that allow us to respond to the output signals of malfunctions of internal combustion engine components. Contactless diagnostics of internal combustion engines can reduce the number of failures by 1.5 or more times, increase the repair service life by 1.2-1.5 times, reduce maintenance costs by 15-20 percent, reduce fuel consumption by 12-15 percent and increase the durability of parts by 10-12 percent. (Conclusions) The research forms the scientific basis for the effective use of contactless diagnostics. The introduction of this method of technical diagnostics of internal combustion engines makes it possible to reduce the operating costs of agricultural producers by 12-15 percent due to the economical using of resources, to ensure a reduction in the number of repairs and a reduction in the number of spare parts purchased.

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Prediction of failures in agricultural machinery engines using digital technologies

Cited by 4 publications

References 4 publications

Monitoring of the technical condition of individual resource units and units of utilized agricultural machinery

Monitoring of the technical condition of individual resource units and units of utilized agricultural machinery

Online monitoring of the technical condition of energy saturated agricultural equipment using neural networks

DIAGNOSTICS OF INTERNAL COMBUSTION ENGINES, STATE AND PROSPECTS IN THE ENGINEERING SERVICE OF THE AGRO-INDUSTRIAL COMPLEX

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