Four-state stochastic model of changes in the reliability states of a motor vehicle

Jerzy Girtler; Marek Ślęzak

Four-state stochastic model of changes in the reliability states of a motor vehicle

Abstrakt

The properties of semi-Markov processes have been generally characterized and the applicability of the theory of such processes to the determining of the reliability of motor cars and other road vehicles has been explained. A formal description of the process of changes in the motor vehicle technical states considered as reliability states and a model of this process in the form of a one-dimensional stochastic process have been presented. The values of this process are the technical states of the motor vehicle in question that have significant practical importance. A four-state set of states interpreted as follows has been adopted: full (complete) serviceability, partial (incomplete) serviceability,task-limiting serviceability,and complete (total) unserviceability. Based on the initial distribution adopted and the functional matrix worked out, the boundary distribution of the process of changes in the technical (reliability) states of the motor vehicle has been defined. The probability of the vehicle being fully serviceable has been considered a measure of the vehicle reliability for a long period of vehicle operation. A possibility of defining the vehicle reliability in the form of a probability that a task would also be fulfilled by the vehicle being partially serviceable has also been indicated.

Autorzy (2)

Jerzy Girtler prof. dr hab. inż.
Marek Ślęzak
- Przemysłowy Instytut Motoryzacji w Warszawie ..

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Kategoria:: Publikacja w czasopiśmie
Typ:: artykuł w czasopiśmie wyróżnionym w JCR
Opublikowano w:: Eksploatacja i Niezawodność - Maintenance and Reliability nr 15, strony 156 - 160,
ISSN: 1507-2711
Język:: angielski
Rok wydania:: 2013
Opis bibliograficzny:: Girtler J., Ślęzak M.: Four-state stochastic model of changes in the reliability states of a motor vehicle// Eksploatacja i Niezawodność - Maintenance and Reliability. -Vol. 15, iss. 2 (2013), s.156-160
Weryfikacja:: Politechnika Gdańska