Evaluation of Agricultural Machinery Operation Modes
The author presented material on the evaluation of agricultural machines operating modes and operating conditions using the technical condition monitoring system developed by scientists of the Federal Scientifi c Agroengineering Center VIM. He showed an example of proximity sensors use on the Kioti...
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Federal Scientific Agroengineering Centre VIM
2020-12-01
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doaj-80222b00e4404a158ac7dbb9683595292021-07-28T16:21:33ZrusFederal Scientific Agroengineering Centre VIMСельскохозяйственные машины и технологии2073-75992618-67482020-12-01144788310.22314/2073-7599-2020-14-4-78-83365Evaluation of Agricultural Machinery Operation ModesM. N. Kostomakhin0Federal Scientific Agroengineering Center VIMThe author presented material on the evaluation of agricultural machines operating modes and operating conditions using the technical condition monitoring system developed by scientists of the Federal Scientifi c Agroengineering Center VIM. He showed an example of proximity sensors use on the Kioti CK22 tractor to assess the emergency mode of operation, which could subsequently lead to premature failure. The author considered the possibilities of the most rational application of the remote monitoring algorithm to diagnostics – to identify the causes of malfunctions.(Research purpose) To improve the existing and develop new technologies for remote evaluation of the machines current technical condition throughout the entire operation.(Materials and methods) It was confi rmed that the remote monitoring system algorithm developed by the VIM scientists made it possible to provide automated control of the units and machine assemblies technical condition parameters. The system was operated on the basis of documenting the facts of the machine's operation in emergency or pre-emergency modes. The parameters control within the acceptable limits was provided.(Results and discussion) After analyzing the failure reasons, the author established the initial nomenclature of the studied processes. An algorithm for remote parameters monitoring was developed, which made it possible to assess the machine operating modes. He tested the algorithm functionality using the example of installing proximity sensors and an on-board computer on a Kioti CK22 tractor.(Conclusions) Using the installed on-board system and 8 sensors,information was obtained that made it possible to assess the current technical condition of the Kioti CK22 tractor based on the dynamics of 8 monitored parameters characterizing a gradual change in the functionality of the machine/system and aff ecting technical and environmental safetyhttps://www.vimsmit.com/jour/article/view/408agricultural machinerymachine operationoperating modetime between failurestechnical conditioncontrolled parameterremote monitoringdata transmission |
collection |
DOAJ |
language |
Russian |
format |
Article |
sources |
DOAJ |
author |
M. N. Kostomakhin |
spellingShingle |
M. N. Kostomakhin Evaluation of Agricultural Machinery Operation Modes Сельскохозяйственные машины и технологии agricultural machinery machine operation operating mode time between failures technical condition controlled parameter remote monitoring data transmission |
author_facet |
M. N. Kostomakhin |
author_sort |
M. N. Kostomakhin |
title |
Evaluation of Agricultural Machinery Operation Modes |
title_short |
Evaluation of Agricultural Machinery Operation Modes |
title_full |
Evaluation of Agricultural Machinery Operation Modes |
title_fullStr |
Evaluation of Agricultural Machinery Operation Modes |
title_full_unstemmed |
Evaluation of Agricultural Machinery Operation Modes |
title_sort |
evaluation of agricultural machinery operation modes |
publisher |
Federal Scientific Agroengineering Centre VIM |
series |
Сельскохозяйственные машины и технологии |
issn |
2073-7599 2618-6748 |
publishDate |
2020-12-01 |
description |
The author presented material on the evaluation of agricultural machines operating modes and operating conditions using the technical condition monitoring system developed by scientists of the Federal Scientifi c Agroengineering Center VIM. He showed an example of proximity sensors use on the Kioti CK22 tractor to assess the emergency mode of operation, which could subsequently lead to premature failure. The author considered the possibilities of the most rational application of the remote monitoring algorithm to diagnostics – to identify the causes of malfunctions.(Research purpose) To improve the existing and develop new technologies for remote evaluation of the machines current technical condition throughout the entire operation.(Materials and methods) It was confi rmed that the remote monitoring system algorithm developed by the VIM scientists made it possible to provide automated control of the units and machine assemblies technical condition parameters. The system was operated on the basis of documenting the facts of the machine's operation in emergency or pre-emergency modes. The parameters control within the acceptable limits was provided.(Results and discussion) After analyzing the failure reasons, the author established the initial nomenclature of the studied processes. An algorithm for remote parameters monitoring was developed, which made it possible to assess the machine operating modes. He tested the algorithm functionality using the example of installing proximity sensors and an on-board computer on a Kioti CK22 tractor.(Conclusions) Using the installed on-board system and 8 sensors,information was obtained that made it possible to assess the current technical condition of the Kioti CK22 tractor based on the dynamics of 8 monitored parameters characterizing a gradual change in the functionality of the machine/system and aff ecting technical and environmental safety |
topic |
agricultural machinery machine operation operating mode time between failures technical condition controlled parameter remote monitoring data transmission |
url |
https://www.vimsmit.com/jour/article/view/408 |
work_keys_str_mv |
AT mnkostomakhin evaluationofagriculturalmachineryoperationmodes |
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1721267290259849216 |