Abstract
In dynamic reliability evaluation, the complete behaviour of the system has to
be taken into account. In this paper, a benchmark taken from the literature is
examined. To this aim, we exploit Dynamic Bayesian Networks (DBN) extending
standard Bayesian networks by introducing a discrete temporal dimension.
The goals are the prediction of the system unreliability and the computation
of diagnostic indices. Because of the achievement of such goals, we propose
DBN to be a valid approach for dynamic reliability evaluation.
Lingua originale | Inglese |
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Pagine | 296-307 |
Numero di pagine | 12 |
Stato di pubblicazione | Pubblicato - 1 gen 2013 |
Evento | Advances in Risk and Reliability Technology Symposium (AR2TS) - Nottingham (UK) Durata: 1 gen 2013 → … |
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???event.eventtypes.event.conference??? | Advances in Risk and Reliability Technology Symposium (AR2TS) |
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Città | Nottingham (UK) |
Periodo | 1/01/13 → … |
Keywords
- Dynamic Bayesian Networks
- Reliability