Computer system for electric drives fault diagnosis of mining shovels; Coal in the 21st Century: Mining, Processing and Safety
| Parent link: | Coal in the 21st Century: Mining, Processing and Safety.— 2016.— [P. 274-279] |
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| 団体著者: | |
| その他の著者: | , , , |
| 要約: | Title screen It is proposed to conduct fault diagnostic test on electric drives of mining shovels based on the results of monitoring the current values of electromagnetic and mechanical parameters and variables of electric drives obtained in the course of their operation using the modern computer technology. The structure of the developed system of functional diagnostics, allowing to monitor the status of the drive and identify emerging fault is shown in the paper. To determine in real time the current parameters and variables of DC motor which can't be measured during their operation, the dynamic identification was used based on the measured current and voltage of the motor windings, and mathematical estimation methods. Parameters of the mechanical subsystem of electric drive are identified by a mobile measuring system. The authors also give the structure and characteristics of the one-step neural network predictor of current, used to predict the current values in the armature and field windings of motor. The analysis of the technical state of the electric drive by a set of attributes is performed in a special analyzer, built on the basis of pre-trained artificial neural network. The results of these studies support the possibility of creating a diagnostic system for the main electric drives of mining shovels using the estimation methods and apparatus of artificial neural networks. Режим доступа: по договору с организацией-держателем ресурса |
| 言語: | 英語 |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | http://elibrary.ru/item.asp?id=26773114 |
| フォーマット: | xMaterials 電子媒体 図書の章 |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=652361 |
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| 200 | 1 | |a Computer system for electric drives fault diagnosis of mining shovels |f V. G. Kashirskikh, A. N. Gargaev, V. M. Zavyalov, I. Y. Semykina | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 33 tit.] | ||
| 330 | |a It is proposed to conduct fault diagnostic test on electric drives of mining shovels based on the results of monitoring the current values of electromagnetic and mechanical parameters and variables of electric drives obtained in the course of their operation using the modern computer technology. The structure of the developed system of functional diagnostics, allowing to monitor the status of the drive and identify emerging fault is shown in the paper. To determine in real time the current parameters and variables of DC motor which can't be measured during their operation, the dynamic identification was used based on the measured current and voltage of the motor windings, and mathematical estimation methods. Parameters of the mechanical subsystem of electric drive are identified by a mobile measuring system. The authors also give the structure and characteristics of the one-step neural network predictor of current, used to predict the current values in the armature and field windings of motor. The analysis of the technical state of the electric drive by a set of attributes is performed in a special analyzer, built on the basis of pre-trained artificial neural network. The results of these studies support the possibility of creating a diagnostic system for the main electric drives of mining shovels using the estimation methods and apparatus of artificial neural networks. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 463 | 1 | |t Coal in the 21st Century: Mining, Processing and Safety |o The 8th Russian-Chinese Symposium, Kemerovo, Russia, 10-12 oct., 2016 г. |f KuzSTU ; ed. A. V. Zykov |v [P. 274-279] |o [proceedings] |d 2016 | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a electric drive | |
| 610 | 1 | |a diagnosis | |
| 610 | 1 | |a estimation | |
| 610 | 1 | |a электроприводы | |
| 610 | 1 | |a двигатели постоянного тока | |
| 610 | 1 | |a диагностика | |
| 610 | 1 | |a идентификация | |
| 610 | 1 | |a оценка | |
| 610 | 1 | |a искусственные нейронные сети | |
| 701 | 1 | |a Kashirskikh |b V. G. |g Veniamin Georgievich | |
| 701 | 1 | |a Gargaev |b A. N. |g Andrey Nikolaevich | |
| 701 | 1 | |a Zavyalov |b V. M. |c specialist in the field of electrical engineering |c Professor of Tomsk Polytechnic University, Doctor of technical sciences |f 1974- |g Valery Mikhailovich |3 (RuTPU)RU\TPU\pers\35746 |9 18903 | |
| 701 | 1 | |a Semykina |b I. Y. |g Irina Yurjevna | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет (ТПУ) |b Энергетический институт (ЭНИН) |b Кафедра электропривода и электрооборудования (ЭПЭО) |3 (RuTPU)RU\TPU\col\18674 |
| 801 | 2 | |a RU |b 63413507 |c 20210212 |g RCR | |
| 856 | 4 | |u http://elibrary.ru/item.asp?id=26773114 | |
| 942 | |c CF | ||