Stochastic Models and Processing Probabilistic Data for Solving the Problem of Improving the Electric Freight Transport Reliability; Mathematics; Vol. 11, iss. 23
| Parent link: | Mathematics.— .— Basel: MDPI AG Vol. 11, iss. 23.— 2023.— Article number 4836, 19 p. |
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| অন্যান্য লেখক: | , , , , , |
| সংক্ষিপ্ত: | Title screen Improving the productivity and reliability of mining infrastructure is an important task contributing to the mining performance enhancement of any enterprise. Open-pit dump trucks that move rock masses from the mining site to unloading points are an important part of the infrastructure of coal mines, and they are the main transport unit used in the technological cycle during open-pit mining. The failure of any of the mining truck systems causes unscheduled downtime and leads to significant economic losses, which are associated with the need to immediately restore the working state and lost profits due to decreased site productivity and a disruption of the production cycle. Therefore, minimizing the number and duration of unscheduled repairs is a necessity. The most time-consuming operations are the replacement of the diesel engine, traction generator, and traction motors, which requires additional disassembly of the dump truck equipment; therefore, special reliability requirements are imposed on these units. In this article, a mathematical model intended for processing the statistical data was developed to determine the reliability indicators of the brush collector assembly and the residual life of brushes of electric motors, which, unlike existing models, allow the determination of the refined life of the brushes based on the limiting height of their wear. A method to predict the residual life of an electric brush of a DC electric motor is presented, containing a list of controlled reliability indicators that are part of the mathematical model. Using the proposed mathematical model, the reliability of the brush-collector assembly, the minimum height of the brush during operation, and the average rate of its wear were studied and calculated Текстовый файл |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
2023
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://earchive.tpu.ru/handle/11683/132491 https://doi.org/10.3390/math11234836 |
| বিন্যাস: | বৈদ্যুতিক গ্রন্থের অধ্যায় |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=679918 |
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| 200 | 1 | |a Stochastic Models and Processing Probabilistic Data for Solving the Problem of Improving the Electric Freight Transport Reliability |f Nikita V. Martyushev, Boris V. Malozyomov, Olga A. Filina [et al.] | |
| 203 | |a Текст |b визуальный |c электронный | ||
| 283 | |a online_resource |2 RDAcarrier | ||
| 300 | |a Title screen | ||
| 320 | |a References: 48 tit | ||
| 330 | |a Improving the productivity and reliability of mining infrastructure is an important task contributing to the mining performance enhancement of any enterprise. Open-pit dump trucks that move rock masses from the mining site to unloading points are an important part of the infrastructure of coal mines, and they are the main transport unit used in the technological cycle during open-pit mining. The failure of any of the mining truck systems causes unscheduled downtime and leads to significant economic losses, which are associated with the need to immediately restore the working state and lost profits due to decreased site productivity and a disruption of the production cycle. Therefore, minimizing the number and duration of unscheduled repairs is a necessity. The most time-consuming operations are the replacement of the diesel engine, traction generator, and traction motors, which requires additional disassembly of the dump truck equipment; therefore, special reliability requirements are imposed on these units. In this article, a mathematical model intended for processing the statistical data was developed to determine the reliability indicators of the brush collector assembly and the residual life of brushes of electric motors, which, unlike existing models, allow the determination of the refined life of the brushes based on the limiting height of their wear. A method to predict the residual life of an electric brush of a DC electric motor is presented, containing a list of controlled reliability indicators that are part of the mathematical model. Using the proposed mathematical model, the reliability of the brush-collector assembly, the minimum height of the brush during operation, and the average rate of its wear were studied and calculated | ||
| 336 | |a Текстовый файл | ||
| 461 | 1 | |t Mathematics |c Basel |n MDPI AG | |
| 463 | 1 | |t Vol. 11, iss. 23 |v Article number 4836, 19 p. |d 2023 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a reliability | |
| 610 | 1 | |a stochastic models | |
| 610 | 1 | |a electric freight transport | |
| 610 | 1 | |a traction motor | |
| 610 | 1 | |a brush wear | |
| 610 | 1 | |a diagnosing | |
| 610 | 1 | |a technical resource | |
| 610 | 1 | |a operating modes | |
| 701 | 1 | |a Martyushev |b N. V. |c specialist in the field of material science |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences |f 1981- |g Nikita Vladimirovich |9 16754 | |
| 701 | 1 | |a Malozemov |b B. V. |g Boris Vitaljevich | |
| 701 | 1 | |a Filina |b O. A. |g Olga Alekseevna | |
| 701 | 1 | |a Sorokova |b S. N. |c specialist in the field of Informatics and computer engineering |c associate Professor of Tomsk Polytechnic University, programmer, candidate of physico-mathematical Sciences |f 1981- |g Svetlana Nikolaevna |9 16596 | |
| 701 | 1 | |a Valuev |b D. V. |c specialist in the field of metal working |c Associate Professor of Yurga technological Institute of Tomsk Polytechnic University, Candidate of technical sciences |f 1980- |g Denis Viktorovich |9 16748 | |
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| 801 | 0 | |a RU |b 63413507 |c 20250424 | |
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