In this paper, system reliability allocation using BN(Bayesian Network) was researched. The relationship between system failure and component failure can be expressed by probability importance degree, structure importance degree and key importance degree in FTA (Fault Tree Analysis). BN supplies a new method to reflect the importance of components in system. That is the conditional failure probability which points out the most possible reason of system failure and is more reasonable and reliable. Some examples are given to allocate the reliability of systems by BN and the results show that BN is useful and effective
Cyber-physical systems have increasingly intricate architectures and failure modes, which is due to ...
YesBayesian Network (BN)-based methods are increasingly used in system reliability analysis. While ...
With the increase of complex systems functions, the number of its components will rise. This will le...
Abstract: In this paper, system reliability allocation using BN(Bayesian Network) was researched. Th...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inferen...
This paper proposes a methodology to apply Bayesian networks to structural system reliability reasse...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modeling many kinds of ...
In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modelling many kinds of...
With the rapid development of information and automation technology, the manufacturing system is evo...
Importance measures (IMs) are used for risk-informed decision making in system operations, safety, a...
Bayesian Networks (BN) provide robust probabilistic methods of reasoning under uncertainty, but desp...
Considering the shortcomings of the fault tree analysis (FTA) method in the reliability analysis of ...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
Cyber-physical systems have increasingly intricate architectures and failure modes, which is due to ...
YesBayesian Network (BN)-based methods are increasingly used in system reliability analysis. While ...
With the increase of complex systems functions, the number of its components will rise. This will le...
Abstract: In this paper, system reliability allocation using BN(Bayesian Network) was researched. Th...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inferen...
This paper proposes a methodology to apply Bayesian networks to structural system reliability reasse...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modeling many kinds of ...
In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modelling many kinds of...
With the rapid development of information and automation technology, the manufacturing system is evo...
Importance measures (IMs) are used for risk-informed decision making in system operations, safety, a...
Bayesian Networks (BN) provide robust probabilistic methods of reasoning under uncertainty, but desp...
Considering the shortcomings of the fault tree analysis (FTA) method in the reliability analysis of ...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
Cyber-physical systems have increasingly intricate architectures and failure modes, which is due to ...
YesBayesian Network (BN)-based methods are increasingly used in system reliability analysis. While ...
With the increase of complex systems functions, the number of its components will rise. This will le...