Use of Fuzzy Inference for Simulating a Process of Changing the Technical Condition of Electrical Equipment of Mobile Robotic Complexes
Modern robotic systems are equipped with complex electrical equipment, which accounts for more than half of the failures caused by degradation processes. Monitoring of the electrical equipment of transport mobile robotic complexes is necessary to warn of the approaching limit. The model of change of...
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| Published in | Optics and spectroscopy Vol. 132; no. 6; pp. 493 - 496 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Moscow
Pleiades Publishing
01.12.2024
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0030-400X 1562-6911 |
| DOI | 10.1134/S0030400X24700450 |
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| Abstract | Modern robotic systems are equipped with complex electrical equipment, which accounts for more than half of the failures caused by degradation processes. Monitoring of the electrical equipment of transport mobile robotic complexes is necessary to warn of the approaching limit. The model of change of the technical condition based on fuzzy inference that allows solving monitoring tasks is discussed. The development of monitoring support based on the considered model will increase the life of transport robotic complexes. |
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| AbstractList | Modern robotic systems are equipped with complex electrical equipment, which accounts for more than half of the failures caused by degradation processes. Monitoring of the electrical equipment of transport mobile robotic complexes is necessary to warn of the approaching limit. The model of change of the technical condition based on fuzzy inference that allows solving monitoring tasks is discussed. The development of monitoring support based on the considered model will increase the life of transport robotic complexes. |
| Author | Danilin, M. E. Zayara, A. V. |
| Author_xml | – sequence: 1 givenname: A. V. surname: Zayara fullname: Zayara, A. V. email: zaw1966@mail.ru organization: Military Innovative Technopolis “Era” – sequence: 2 givenname: M. E. surname: Danilin fullname: Danilin, M. E. email: metod@avgr.tech organization: Research and Production Association “Group Avanti” |
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| Cites_doi | 10.21685/2307-4205-2017-1-12 10.25136/2409-8744.2018.5.23491 |
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| Copyright | Pleiades Publishing, Ltd. 2024 ISSN 0030-400X, Optics and Spectroscopy, 2024, Vol. 132, Nos. 6–12, pp. 493–496. © Pleiades Publishing, Ltd., 2024.ISSN 0030-400X, Optics and Spectroscopy, 2024. © Pleiades Publishing, Ltd., 2025.Russian Text © The Author(s), 2024, published in Nadezhnost’ i Kachestvo Slozhnykh Sistem, 2024, No. 2, pp. 120–125. Copyright Springer Nature B.V. 2024 |
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| SubjectTerms | Electric equipment Inference Lasers Monitoring Optical Devices Optics Photonics Physics Physics and Astronomy Robot learning |
| Title | Use of Fuzzy Inference for Simulating a Process of Changing the Technical Condition of Electrical Equipment of Mobile Robotic Complexes |
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