Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport
Modern power and transportation systems are subject to high requirements for reliability and performance in performing their specified functions. At the same time, these requirements are constantly increasing with the increasing complexity of technology and the introduction of electronics and comput...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/15/3317 |
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| author | Nikita V. Martyushev Boris V. Malozyomov Svetlana N. Sorokova Egor A. Efremenkov Denis V. Valuev Mengxu Qi |
| author_facet | Nikita V. Martyushev Boris V. Malozyomov Svetlana N. Sorokova Egor A. Efremenkov Denis V. Valuev Mengxu Qi |
| author_sort | Nikita V. Martyushev |
| collection | DOAJ |
| description | Modern power and transportation systems are subject to high requirements for reliability and performance in performing their specified functions. At the same time, these requirements are constantly increasing with the increasing complexity of technology and the introduction of electronics and computer technology into its structure. This is fully applicable to energy and transportation infrastructure, including electric vehicles. The complexity of the systems and increasing requirements for them have led to the fact that the problem of increasing their operational reliability has acquired great importance. The article presents a review of methods and justification of ensuring a high level of reliability and serviceability of technical systems as one of the most important tasks in the creation and operation of complex systems, such as modern energy and transportation systems. It is shown that a significant reserve in solving the problem of increasing the reliability and performance of technical systems is the information on failures and malfunctions of these systems obtained from the field of operation. The methodology of collection and processing of statistical information on failures of vehicles described by different distribution laws is outlined. |
| first_indexed | 2024-03-11T00:22:43Z |
| format | Article |
| id | doaj.art-ae5fd9711d5e4124ab573b150d5ac400 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T00:22:43Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-ae5fd9711d5e4124ab573b150d5ac4002023-11-18T23:15:02ZengMDPI AGMathematics2227-73902023-07-011115331710.3390/math11153317Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and TransportNikita V. Martyushev0Boris V. Malozyomov1Svetlana N. Sorokova2Egor A. Efremenkov3Denis V. Valuev4Mengxu Qi5Department of Materials Science, Tomsk Polytechnic University, 634050 Tomsk, RussiaDepartment of Electrotechnical Complexes, Novosibirsk State Technical University, 630073 Novosibirsk, RussiaDepartment of Mechanical Engineering, Tomsk Polytechnic University, 634050 Tomsk, RussiaDepartment of Mechanical Engineering, Tomsk Polytechnic University, 634050 Tomsk, RussiaYurga Technological Institute (Branch), Tomsk Polytechnic University, 652055 Yurga, RussiaDepartment of Mechanical Engineering, Tomsk Polytechnic University, 634050 Tomsk, RussiaModern power and transportation systems are subject to high requirements for reliability and performance in performing their specified functions. At the same time, these requirements are constantly increasing with the increasing complexity of technology and the introduction of electronics and computer technology into its structure. This is fully applicable to energy and transportation infrastructure, including electric vehicles. The complexity of the systems and increasing requirements for them have led to the fact that the problem of increasing their operational reliability has acquired great importance. The article presents a review of methods and justification of ensuring a high level of reliability and serviceability of technical systems as one of the most important tasks in the creation and operation of complex systems, such as modern energy and transportation systems. It is shown that a significant reserve in solving the problem of increasing the reliability and performance of technical systems is the information on failures and malfunctions of these systems obtained from the field of operation. The methodology of collection and processing of statistical information on failures of vehicles described by different distribution laws is outlined.https://www.mdpi.com/2227-7390/11/15/3317technical reliabilityreliability models service life predictionquality energy systemselectric vehiclestransportation |
| spellingShingle | Nikita V. Martyushev Boris V. Malozyomov Svetlana N. Sorokova Egor A. Efremenkov Denis V. Valuev Mengxu Qi Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport Mathematics technical reliability reliability models service life prediction quality energy systems electric vehicles transportation |
| title | Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport |
| title_full | Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport |
| title_fullStr | Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport |
| title_full_unstemmed | Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport |
| title_short | Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport |
| title_sort | review models and methods for determining and predicting the reliability of technical systems and transport |
| topic | technical reliability reliability models service life prediction quality energy systems electric vehicles transportation |
| url | https://www.mdpi.com/2227-7390/11/15/3317 |
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