Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport; Mathematics; Vol. 11, iss. 15

Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport; Mathematics; Vol. 11, iss. 15

Detalhes bibliográficos
Parent link:Mathematics.— .— Basel: MDPI AG
Vol. 11, iss. 15.— 2023.— Article number 3317, 31 p.
Outros Autores: Martyushev N. V. Nikita Vladimirovich, Malozemov B. V. Boris Vitaljevich, Sorokova S. N. Svetlana Nikolaevna, Efremenkov (Ephremenkov) E. A. Egor Alekseevich, Valuev D. V. Denis Viktorovich, Tsi Mensyuy
Resumo:Title screen
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
Текстовый файл
Idioma:inglês
Publicado em: 2023
Assuntos:
электронный ресурс
труды учёных ТПУ
technical reliability
reliability models service life prediction
quality energy systems
electric vehicles
transportation
Acesso em linha:http://earchive.tpu.ru/handle/11683/132494
https://doi.org/10.3390/math11153317
Formato: Recurso Electrónico Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=679931

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