Trends in the development of digital technologies for diagnosing the technical condition of tractors

Didmanidze, Otari N.; Dorokhov, Alexey; Kataev, Yu. V.; Vim, Fgbnu Fnats

doi:10.33267/2072-9642-2020-11-39-43

Cited by 11 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The display shows basic information about sensor signals, operating parameters, and calculated diagnostic data. It is also possible to connect any external analog or digital sensors, programmable modules, relay modules and actuators [5,6].…”

Section: Methodsmentioning

confidence: 99%

Information and diagnostic tools for monitoring units of agricultural machinery

Kostomakhin,

Sayapin,

Pestryakov

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

The issues of assessing the increase in the efficiency of domestic agricultural machinery according to the criteria of suitability for maintenance and diagnostics and the development of measures to improve it are relevant, as they have a significant impact on the reliability and total cost of ownership and resource of saving during operation. It should be noted that not only the costs of maintenance and repair, but also the time spent in an inoperative state, technical readiness, productivity and other indicators of the efficiency of use for its intended purpose, including resource-saving impacts, depend on the level of equipment adaptability. The purpose of the research was to describe the state of the issue and justify the need to develop information and diagnostic tools for assessing the general technical condition of energy-intensive tractors. The analysis and description of the developed tools for diagnosing agricultural machinery have been done in the work. Similar control and diagnostic equipment produced by third-party manufacturers for agricultural machinery was considered. The distinctive features of our own developments were determined and the need to diagnose specific parameters was also reflected. As a result of the work 3D modeling of the device data was carried out. Then they were designed in special software and the first prototypes were assembled. The tests have proven the possibility of developing such digital diagnostic of device. The data obtained on the base of their effectiveness was reflected and justified. A number of improvements to these systems have been proposed. The results of the operation of all information and diagnostic devices were summed up. Further development of this area of work has been proposed for more modern and high-quality maintenance of units and assemblies of agricultural machinery.

show abstract

Section: Methodsmentioning

confidence: 99%

Information and diagnostic tools for monitoring units of agricultural machinery

Kostomakhin,

Sayapin,

Pestryakov

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…To do this, it is necessary to attract high-speed diagnostic technical means, advanced digital technologies for data transmission and processing, which, unlike analog equipment, allow combining the entire technological process of monitoring agricultural machinery into a single whole. The practical application of this information approach in the engineering and technical sphere of the agro-industrial complex is facilitated by successfully developing statistical methods of signal analysis, information computer modeling of technological processes, telemetry and monitoring of agricultural machinery [3,4,5,6].…”

Section: Problem Statementmentioning

confidence: 99%

Substantiation of the algorithm of information technology for energy monitoring of tractor engines

Альт¹,

Savchenko²,

Dobrolyubov³

2021

Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021

View full text Add to dashboard Cite

It is shown that it is necessary to control the energy indicators of automotive engines to ensure the operational efficiency of agricultural machinery in operational conditions. An algorithm for monitoring the energy indicators of the machine and tractor fleet of an agricultural enterprise is proposed, reflecting the main stages of obtaining, processing, storing and applying diagnostic information. Due to the timely assessment of the state of the equipment and the performance of the necessary maintenance, the efficiency of its work is increased.

show abstract

“…Использование цифровых технологий в диагностировании и контроле параметров технического состояния ДВС сельскохозяйственной техники повышают ее техническую готовность и увеличивают эффективность аграрного производства [2,7].…”

unclassified

Prediction of failures in agricultural machinery engines using digital technologies

KATAEV¹,

Zagoruiko²,

Tishaninov³

et al. 2022

asj

View full text Add to dashboard Cite

The paper provides information on the causes of failures in agricultural machinery engines, provides a brief overview of the ways to identify malfunctions using digital technologies introduced into the diagnostic process, and ways to eliminate them. The introduction of forecasting as a separate stage in the process of diagnosing agricultural machinery using machine learning technologies in the form of neural networks is analyzed. The results of the study reflect that the neural network, analyzing a huge amount of data obtained during remote diagnostics, is able to more accurately predict failures in agricultural machinery engines.

show abstract

Trends in the development of digital technologies for diagnosing the technical condition of tractors

Cited by 11 publications

References 0 publications

Information and diagnostic tools for monitoring units of agricultural machinery

Information and diagnostic tools for monitoring units of agricultural machinery

Substantiation of the algorithm of information technology for energy monitoring of tractor engines

Prediction of failures in agricultural machinery engines using digital technologies

Contact Info

Product

Resources

About