Abstract
To develop a general reliability theory taking into account various sources of information and a lack of satisfactory data on which estimates of system parameters can be based, the theory of imprecise probabilities can be used. The purpose of the paper is to study structural reliability based on the imprecise probability models taking into account the ageing aspect of the lifetime distributions, independence of system components, and a lack of satisfactory data. We use the new non-parametric life distribution classes which generalize the well-known increasing and decreasing failure rate distributions and can represent various judgements related to the lifetime distributions. In this paper we apply the theory of imprecise probabilities to reliability analysis of monotone systems.
Keywords. Reliability, imprecise probabilities, natural extension, monotone systems, mean time to failure, lifetime distribution
The paper is available in the following formats:
Authors addresses:Department of Computer Science,
E-mail addresses:
| Lev V. Utkin | lvu@utkin.usr.etu.spb.ru |
| Sergey V. Gurov | kir@inf.fta.spb.ru |