Skip to Main Content
ASME Press Select Proceedings

Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)

Editor
Michael G. Stamatelatos
Michael G. Stamatelatos
Search for other works by this author on:
Harold S. Blackman
Harold S. Blackman
Search for other works by this author on:
ISBN-10:
0791802442
No. of Pages:
2576
Publisher:
ASME Press
Publication date:
2006

A hierarchical Bayesian model is developed to address the uncertainty about the time to stopping the phenomenon whose undesired growth causes damages. The paper concentrates upon the application of this probabilistic model. It is used with a set of observations to obtain the distribution about the time for suppression of the fires, which can arise in a particular class of rooms.

A new approach to apply dynamic relationships in dynamic Bayesian networks is presented. This model makes use of some of the concepts of functional event sequence diagrams for modeling dynamic relationships between component failures, physical variables, and measurements, and presents the required equations for derivation of conditional probability values to be automatically mapped into a temporal Bayesian networks. Using this approach, we can exploit expert knowledge for developing temporal BN and elicitation of required probability values more efficiently. The developed model using block diagrams will be also more informative and expressive. An application of this methodology is also presented for taking dynamic condition into account for diagnosis and prediction analysis.

This content is only available via PDF.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal