https://doi.org/10.4081/jae.2021.1158

Diagnostic method and device for evaluating and forecasting the technical condition of farm machinery in operation

Vol. 52 No. 4 (2021)
    Published:23 December 2021
    ‘CALS’ technologies, car, diagnosis, forecasting (predicting), harvester, machine, modifier, sensor, tractor.
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    Authors

    Ildar Gabitov
    ildar5gabitov@rambler.ru
    Department of Automobiles and Machine-Tractor Complexes, Federal State Budgetary Educational Establishment of Higher Education Bashkir State Agrarian University, Ufa, Russian Federation.
    Samat Insafuddinov
    Department of Heat Power Engineering and Physics, Federal State Budgetary Educational Establishment of Higher Education Bashkir State Agrarian University, Ufa, Russian Federation.
    Denis Kharisov
    Department of Heat Power Engineering and Physics, Federal State Budgetary Educational Establishment of Higher Education Bashkir State Agrarian University, Ufa, Russian Federation.
    Elmir Gaysin
    Department of Heat Power Engineering and Physics, Federal State Budgetary Educational Establishment of Higher Education Bashkir State Agrarian University, Ufa, Russian Federation.
    Timur Farhutdinov
    Department of Heat Power Engineering and Physics, Federal State Budgetary Educational Establishment of Higher Education Bashkir State Agrarian University, Ufa, Russian Federation.

    The paper discusses methods and ways to diagnose the technical condition of agricultural machines and harvesters, existing practices, and approaches to get reliable data on the current health of the machinery used. The device for assessing and predicting machines’ technical condition includes software and technical means developed with virtual technologies to measure diagnostic parameters of the machinery. The main device elements are digital sensors with physical modifiers (pressure, temperature, medium composition and motion sensors, a-d converters with signal amplifiers), software to configure data gathering, and output to conduct analyses and produce recommendations. The core of the present approach is the technology of virtual prediction of breakdowns by changes in the technical condition parameters. It is based on modular devices, software with an interface that collects and processes data and provides a complete set of failure diagnostics and forecasting. The given method based on a device operating in the information and communication network increases farm machinery’s performance. Furthermore, it reduces operating costs due to the prevention of expensive breakdowns, individual forecasting, and scheduled maintenance of machines in operation. The approach under consideration was applied in the laboratory of digital engineering technologies of the Bashkir State Agrarian University Republic of Bashkortostan of the Russian Federation. The given work is aimed to boost the efficiency of the farm machinery diagnostics and maintenance system by applying a virtual breakdown prediction technology to conduct an automated evaluation, registration, and analysis of a machine’s condition. It can be achieved by developing software and technical means to register data and their structure systematization.

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    How to Cite

    Gabitov, I. (2021) “Diagnostic method and device for evaluating and forecasting the technical condition of farm machinery in operation”, Journal of Agricultural Engineering, 52(4). doi: 10.4081/jae.2021.1158.
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