Bayesian Networks (BN) provide robust probabilistic methods of reasoning under uncertainty, but despite their formal grounds are strictly based on the notion of conditional dependence, not much attention has been paid so far to their use in dependability analysis. The aim of this paper is to propose BN as a suitable tool for dependability analysis, by challenging the formalism with basic issues arising in dependability tasks. We will discuss how both modeling and analysis issues can be naturally dealt with by BN. Moreover, we will show how some limitations intrinsic to combinatorial dependability methods such as Fault Trees can be overcome using BN. This will be pursued through the study of a real-world example concerning the reliability an...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
A Bayesian network (BN) is a powerful tool to represent the quantitative and qualitative features of...
This paper considers the problem of reliability analysis of that consists groups of components organ...
Bayesian Networks (BN) provide robust probabilistic methods of reasoning under uncertainty, but desp...
Bayesian Networks (BN) provide a robust probabilistic method of reasoning under uncertainty. They ha...
Bayesian Networks (BN) provide a robust probabilistic method of reasoning under uncertainty. They ha...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modeling many kinds of ...
AbstractIn this paper, we present an approach to reliability modeling and analysis based on the auto...
Recent works performed by several researchers working in the dependability eld have shown how the fo...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modelling many kinds of...
We present a continuous-time Bayesian network (CTBN) framework for dynamic systems reliability model...
In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the...
In this paper, we present an approach to reliability modeling and analysis based on the automatic c...
In this chapter, we present an approach where the reliability analysis of systems showing dynamic d...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
A Bayesian network (BN) is a powerful tool to represent the quantitative and qualitative features of...
This paper considers the problem of reliability analysis of that consists groups of components organ...
Bayesian Networks (BN) provide robust probabilistic methods of reasoning under uncertainty, but desp...
Bayesian Networks (BN) provide a robust probabilistic method of reasoning under uncertainty. They ha...
Bayesian Networks (BN) provide a robust probabilistic method of reasoning under uncertainty. They ha...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modeling many kinds of ...
AbstractIn this paper, we present an approach to reliability modeling and analysis based on the auto...
Recent works performed by several researchers working in the dependability eld have shown how the fo...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modelling many kinds of...
We present a continuous-time Bayesian network (CTBN) framework for dynamic systems reliability model...
In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the...
In this paper, we present an approach to reliability modeling and analysis based on the automatic c...
In this chapter, we present an approach where the reliability analysis of systems showing dynamic d...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
A Bayesian network (BN) is a powerful tool to represent the quantitative and qualitative features of...
This paper considers the problem of reliability analysis of that consists groups of components organ...