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The optimal complex of maintenance and repair operations to increase the reliability of nodes, systems and aggregates of mobile machines
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The work examines the improvement of the forms and methods of organizing maintenance and repair systems of mobile machines in order to increase their reliability by optimizing diagnostic operations and monitoring the technical condition of their units, systems and units. The proposed centralized system of maintenance and repair of machines includes the principles of production and is characterized by the wide use of technological complexes of operations of the system of maintenance and repair of nodes, systems, aggregates and mobile machines as a whole. A comparison was made of the methodology for implementing the proposed maintenance and repair system and the world-famous RCM (Reliability-centered Maintenance) methodology, focused on a certain level of reliability. Schematics of the technological process of implementing a complex of maintenance and repair operations based on one-stage and multi-stage control of the technical condition of nodes, systems, aggregates and the mobile machine as a whole are presented. A decision-making algorithm has been developed for the processes of a complex of maintenance and repair operations. Clarified technological and information support of complexes of maintenance and repair operations of nodes, systems, units of mobile machines. The role of the operator-diagnostic in relation to the probability of receiving errors of the 1st and 2nd type of defects of parts, as well as the use of computerized workplaces, is revealed. It is shown how these factors affect the level of reliability of nodes, systems, aggregates and mobile machines as a whole. It was determined that in order to reduce the influence of the human factor on the results of the diagnosis of the presence or absence of defects and the distribution of nodes, systems, aggregates according to the technological routes of optimal complexes of maintenance and repair operations, consideration of the repair and maintenance system as an artificial cognitive system can help.
Central Ukrainian National Technical University
Title: The optimal complex of maintenance and repair operations to increase the reliability of nodes, systems and aggregates of mobile machines
Description:
The work examines the improvement of the forms and methods of organizing maintenance and repair systems of mobile machines in order to increase their reliability by optimizing diagnostic operations and monitoring the technical condition of their units, systems and units.
The proposed centralized system of maintenance and repair of machines includes the principles of production and is characterized by the wide use of technological complexes of operations of the system of maintenance and repair of nodes, systems, aggregates and mobile machines as a whole.
A comparison was made of the methodology for implementing the proposed maintenance and repair system and the world-famous RCM (Reliability-centered Maintenance) methodology, focused on a certain level of reliability.
Schematics of the technological process of implementing a complex of maintenance and repair operations based on one-stage and multi-stage control of the technical condition of nodes, systems, aggregates and the mobile machine as a whole are presented.
A decision-making algorithm has been developed for the processes of a complex of maintenance and repair operations.
Clarified technological and information support of complexes of maintenance and repair operations of nodes, systems, units of mobile machines.
The role of the operator-diagnostic in relation to the probability of receiving errors of the 1st and 2nd type of defects of parts, as well as the use of computerized workplaces, is revealed.
It is shown how these factors affect the level of reliability of nodes, systems, aggregates and mobile machines as a whole.
It was determined that in order to reduce the influence of the human factor on the results of the diagnosis of the presence or absence of defects and the distribution of nodes, systems, aggregates according to the technological routes of optimal complexes of maintenance and repair operations, consideration of the repair and maintenance system as an artificial cognitive system can help.
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