The relevance of the research is caused by the need to improve the rolling stock (quarry dump trucks) operation reliability, providing open-pit coal mining. This problem is also relevant in the railway transportation industry – on the rolling stock of railways. The reliability of the rolling stock is determined by the reliability of the functioning of its individual components. As it is known from the analysis of failures of rolling stock of vehicles with collector traction motors, one of the critical elements for them is the brush machine. The known methods of forecasting do not fully use the capabilities of modern on-board systems for monitoring the operating modes of traction motors. Therefore, an urgent task is to increase the accuracy of predicting the residual life of electric brushes by taking into account the indicators of the operating modes recorded by the on-board monitoring system. The main aim of the research is to develop a method for predicting the residual life of electric brushes of traction electric motors of mining dump trucks, taking into account the indicators of operating modes obtained from the on-board monitoring system. Objects: electric brushes of traction electric motors of mining dump trucks. Methods: mathematical analysis of data from on-board monitoring systems, mathematical modeling of electric brushes wear, synthesis of a method for predicting the residual life of traction motor brushes. Results. A method for predicting the residual life of the brushes of traction motors has been developed, which allows taking into account the indicators of the operating modes in real operation conditions. The accuracy of determining the residual life of electrical panels is increased due to the use of data arrays obtained from the on-board monitoring system in forecasting. The authors have developed the prediction algorithm that can be used in on-board electronic systems of rolling stock to indicate the residual life of electric brushes.


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    Title :

    DEVELOPMENT OF A METHOD FOR PREDICTING THE RESIDUAL LIFE OF ELECTRIC TRACTION MOTOR BRUSHES


    Contributors:


    Publication date :

    2021




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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