ASSESSMENT OF RELIABILITY PERFORMANCE UNDER THE ASSUMPTION OF INCOMPLETE RECOVERY
https://doi.org/10.21683/1729-2646-2014-0-1-3-20
Abstract
The paper describes modern techniques of parametrical estimation of the failure rate leading function and the assessed failure rate under the assumption of incomplete recovery using Kijima models. Models are compared among themselves and with the models assuming full or minimal recovery of a component (homogeneous and nonhomogeneous Poisson processes respectively). For estimating model parameters, the method of maximum likelihood function is used. For estimating the failure rate leading function given in implicit form, the most popular method of modeling is the Monte-Carlo method. The paper also offers an example of application of the developed technique for calculation of reliability characteristics of components, which are part of the regular equipment of NPP power units.
About the Authors
И. Чумаков
Obninsk Institute of Atomic Energy, National Research Nuclear University MIFI
Russian Federation
Russian Federation
Postgraduate student of Chair of Automated Control Systems
А. Антонов
Obninsk Institute of Atomic Energy, National Research Nuclear University MIFI
Russian Federation
Russian Federation
Doctor of Technical Sciences, Professor, Dean of Faculty of Cybernetics
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Review
For citations:
, ASSESSMENT OF RELIABILITY PERFORMANCE UNDER THE ASSUMPTION OF INCOMPLETE RECOVERY. Dependability. 2014;(1):3-20. https://doi.org/10.21683/1729-2646-2014-0-1-3-20
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ISSN 1729-2646 (Print)
ISSN 2500-3909 (Online)
ISSN 2500-3909 (Online)
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