Use of a modified Markov models for parallel reliability systems that are subject to maintenance
In this paper, we shall describe the reliability function R(t) as probability that the system will not malfunction within a given interval of execution times for maintained systems. Although, we shall be concerned with developing the reliability functions and predicted time to equipment breakdown (M...
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Published in | Journal of physics. Conference series Vol. 1999; no. 1; pp. 12087 - 12093 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.09.2021
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Subjects | |
Online Access | Get full text |
ISSN | 1742-6588 1742-6596 |
DOI | 10.1088/1742-6596/1999/1/012087 |
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Summary: | In this paper, we shall describe the reliability function R(t) as probability that the system will not malfunction within a given interval of execution times for maintained systems. Although, we shall be concerned with developing the reliability functions and predicted time to equipment breakdown (MTTF), Time between failures on average (MTBF) and the overall repair time (MTTR) from concepts of Markov model and some of transformations of Laplace to obtain the reliability and availability. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/1999/1/012087 |