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Conceptual model of methodology for predictive maintenance of agricultural machinery

https://doi.org/10.32786/2071-9485-2023-04-54

Abstract

The article presents the results of a study of the stages of development of maintenance and repair strategies and their promising forms, taking into account the development of digital technologies. Predictive MRO methodology seems to be an intermediate form on the path to the establishment of predictive and prescriptive MRO strategies. The goal of the methodology is to minimize operating costs and increase machine reliability. A six-level conceptual model for implementing predictive maintenance and repair methodology is proposed.

Introduction. Technical services, and in particular the maintenance and repair of agricultural machinery, ensure the reliability of one of the key business assets – agricultural machinery. The use of digital technologies in this area allows the use of advanced strategies based on big data processing and predictive analytics. Predictive maintenance of machines, taking into account trends in technical reequipment and the specifics of agricultural production, can become a key methodology for maintenance and repair. The proposed conceptual model of predictive maintenance for agricultural machinery allows us to identify practical steps for the development and implementation of this methodology.

Object. Maintenance and repair system.

Materials and methods. The work used methods of system analysis and modeling, theories: management; decision making; operations research; design of large software and information systems; content – literature analysis. The study and design of the concept is based on the scientific works of domestic and foreign scientists, GOSTs, as well as reliability and quality methodologies RCM, Kaizen, TQC, etc.

Results and conclusions. As a result of the study, it was found that the implementation of the software methodology leads to a reduction in machine downtime, an increase in their reliability, and a reduction in operating costs. Analysis of scientific research allows us to identify three tasks, the solution of which precedes the implementation of software: determining the system architecture; determining goals and objectives based on the owners’ strategy; identifying approaches and techniques to achieve the best MRO results. A conceptual software model is proposed, which includes 6 layers and a set of actions, allowing for the detection and identification of previous and incipient faults of machine components and assemblies, monitoring and forecasting the development of degradation of parts and technical condition as a whole, as well as providing decision support in the MRO process or development automation maintenance schedules.

About the Author

V. M. Pomogaev
Omsk State Agrarian University named after P. A. Stolypin
Russian Federation

Pomogaev Vitaly Mikhailovich, Candidate of Economic Sciences, Associate Professor of the Department of Engineering Service, Mechanics and Electrical Engineering, Faculty of Engineering Service in the AgroIndustrial Complex

Russian Federation, 644008, Omsk, Institutskaya Square, 1



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Pomogaev V.M. Conceptual model of methodology for predictive maintenance of agricultural machinery. Title in english. 2023;(4 (72)):538-547. (In Russ.) https://doi.org/10.32786/2071-9485-2023-04-54

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