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Communication Dans Un Congrès Année : 2015

Bayesian networks application to the dependability of multi-state systems

Résumé

The application of Bayesian Networks (BN) in dependability is a relatively recent development. Their popularity grew in the area of reliability analysis of systems, since the years 90s. A large number of scientific publications in this area shows the interest in the applications of BN in the field of dependability and risk analysis. The most important publications demonstrate equivalence with probabilistic methods conventionally used in dependability. We have now a number of survey papers that gives a good view of the ability of BN application to dependability. Unfortunately, this modeling formalism is not fully accepted in the industry. The questions resting by today's engineers are focuses on the validity of BN models and the resulting estimates. Indeed, the modeling formalism by BN is not based on a specific semantic in dependability but offers a general formalism for modeling problems under uncertainty. This plenary talk explains the principles of knowledge structuration to ensure a valid BN model and illustrate the flexibility and efficiency of representation by BN in various frameworks such as Fault Diagnosis and Fault Tolerant Control.

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Automatique
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Dates et versions

hal-01254854 , version 1 (12-01-2016)

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  • HAL Id : hal-01254854 , version 1

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Philippe Weber, Didier Theilliol. Bayesian networks application to the dependability of multi-state systems. 12th International Conference on Diagnostics of Processes and Systems, DPS 2015, Sep 2015, Ustka, Poland. ⟨hal-01254854⟩
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