DEVELOPMENT OF A METHOD FOR PREDICTING THE RESIDUAL LIFE OF ELECTRIC TRACTION MOTOR BRUSHES
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 i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
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Tomsk Polytechnic University
2021-07-01
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| Series: | Известия Томского политехнического университета: Инжиниринг георесурсов |
| Subjects: | |
| Online Access: | http://izvestiya.tpu.ru/archive/article/view/3282/2518 |
| _version_ | 1811233416744534016 |
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| author | Viktor V. Kharlamov Denis I. Popov Marsel F. Baysadykov |
| author_facet | Viktor V. Kharlamov Denis I. Popov Marsel F. Baysadykov |
| author_sort | Viktor V. Kharlamov |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T11:20:04Z |
| format | Article |
| id | doaj.art-5a49930fe83744e28928bb08da3006dc |
| institution | Directory Open Access Journal |
| issn | 2500-1019 2413-1830 |
| language | Russian |
| last_indexed | 2024-04-12T11:20:04Z |
| publishDate | 2021-07-01 |
| publisher | Tomsk Polytechnic University |
| record_format | Article |
| series | Известия Томского политехнического университета: Инжиниринг георесурсов |
| spelling | doaj.art-5a49930fe83744e28928bb08da3006dc2022-12-22T03:35:24ZrusTomsk Polytechnic UniversityИзвестия Томского политехнического университета: Инжиниринг георесурсов2500-10192413-18302021-07-01332718219010.18799/24131830/2021/7/3282DEVELOPMENT OF A METHOD FOR PREDICTING THE RESIDUAL LIFE OF ELECTRIC TRACTION MOTOR BRUSHESViktor V. Kharlamov0Denis I. Popov1Marsel F. Baysadykov2Omsk State Transport UniversityOmsk State Transport UniversityOmsk State Transport UniversityThe 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.http://izvestiya.tpu.ru/archive/article/view/3282/2518mining dump trucktraction motorelectric brush wearresidual life forecastingdata setsmonitoring systemmathematical modeling |
| spellingShingle | Viktor V. Kharlamov Denis I. Popov Marsel F. Baysadykov DEVELOPMENT OF A METHOD FOR PREDICTING THE RESIDUAL LIFE OF ELECTRIC TRACTION MOTOR BRUSHES Известия Томского политехнического университета: Инжиниринг георесурсов mining dump truck traction motor electric brush wear residual life forecasting data sets monitoring system mathematical modeling |
| title | DEVELOPMENT OF A METHOD FOR PREDICTING THE RESIDUAL LIFE OF ELECTRIC TRACTION MOTOR BRUSHES |
| title_full | DEVELOPMENT OF A METHOD FOR PREDICTING THE RESIDUAL LIFE OF ELECTRIC TRACTION MOTOR BRUSHES |
| title_fullStr | DEVELOPMENT OF A METHOD FOR PREDICTING THE RESIDUAL LIFE OF ELECTRIC TRACTION MOTOR BRUSHES |
| title_full_unstemmed | DEVELOPMENT OF A METHOD FOR PREDICTING THE RESIDUAL LIFE OF ELECTRIC TRACTION MOTOR BRUSHES |
| title_short | DEVELOPMENT OF A METHOD FOR PREDICTING THE RESIDUAL LIFE OF ELECTRIC TRACTION MOTOR BRUSHES |
| title_sort | development of a method for predicting the residual life of electric traction motor brushes |
| topic | mining dump truck traction motor electric brush wear residual life forecasting data sets monitoring system mathematical modeling |
| url | http://izvestiya.tpu.ru/archive/article/view/3282/2518 |
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