Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport

Nikita V. Martyushev (), Boris V. Malozyomov, Svetlana N. Sorokova, Egor A. Efremenkov, Denis V. Valuev and Mengxu Qi
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Nikita V. Martyushev: Department of Materials Science, Tomsk Polytechnic University, 634050 Tomsk, Russia
Boris V. Malozyomov: Department of Electrotechnical Complexes, Novosibirsk State Technical University, 630073 Novosibirsk, Russia
Svetlana N. Sorokova: Department of Mechanical Engineering, Tomsk Polytechnic University, 634050 Tomsk, Russia
Egor A. Efremenkov: Department of Mechanical Engineering, Tomsk Polytechnic University, 634050 Tomsk, Russia
Denis V. Valuev: Yurga Technological Institute (Branch), Tomsk Polytechnic University, 652055 Yurga, Russia
Mengxu Qi: Department of Mechanical Engineering, Tomsk Polytechnic University, 634050 Tomsk, Russia

Mathematics, 2023, vol. 11, issue 15, 1-31

Abstract: 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.

Keywords: technical reliability; reliability models service life prediction; quality energy systems; electric vehicles; transportation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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