The Birnbaum importance measure plays a central role in reliability analysis. It has initially been introduced for coherent systems, where several of its properties hold and where its computation is straightforward. This work introduces a boolean expression for the notion of criticality that allows the seamless extension of the Birnbaum importance to non-coherent systems. As a key feature, the novel definition makes the computation and encoding straightforward with well-established techniques such as Binary Decision Diagrams (BDDs) or Fault Trees (FTs). Several examples and a case study illustrate the findings
The first step in a reliability optimization process is to make a reliability assessment for each co...
The paper refers to the evaluation of the Unavailability of systems made by repairable binary compon...
Importance Measures (IMs) aim at quantifying the contribution of components to the system performanc...
The Birnbaum importance measure plays a central role in reliability analysis. It has initially been ...
Recent works [Epstein S, Rauzy A. Can we trust PRA? Reliab Eng Syst Safety 2005; 88:195–205] have qu...
Several examples of use of four importance measures for repairable multistate systems. The measures ...
Importance analysis of noncoherent systems is limited, and is generally inaccurate because all measu...
In this paper we review the theory of importance measures for multicomponent binary systems starting...
In the management of complex systems, knowledge of how components contribute to system performance i...
International audienceBirnbaum Importance Measure (IM) allows ranking the components of a system wit...
This paper considers a technique for calculating the unconditional failure intensity of any given no...
In the framework of this thesis, we focused on the following question: "what is the probability of a...
AbstractA new measure of the importance of the components in a coherent system and of the basic even...
In this paper the Barlow and Proschan (1975) measure of the importance of a component in a binary co...
Measures of importance are quantitative criteria for ordering different components in the coherent s...
The first step in a reliability optimization process is to make a reliability assessment for each co...
The paper refers to the evaluation of the Unavailability of systems made by repairable binary compon...
Importance Measures (IMs) aim at quantifying the contribution of components to the system performanc...
The Birnbaum importance measure plays a central role in reliability analysis. It has initially been ...
Recent works [Epstein S, Rauzy A. Can we trust PRA? Reliab Eng Syst Safety 2005; 88:195–205] have qu...
Several examples of use of four importance measures for repairable multistate systems. The measures ...
Importance analysis of noncoherent systems is limited, and is generally inaccurate because all measu...
In this paper we review the theory of importance measures for multicomponent binary systems starting...
In the management of complex systems, knowledge of how components contribute to system performance i...
International audienceBirnbaum Importance Measure (IM) allows ranking the components of a system wit...
This paper considers a technique for calculating the unconditional failure intensity of any given no...
In the framework of this thesis, we focused on the following question: "what is the probability of a...
AbstractA new measure of the importance of the components in a coherent system and of the basic even...
In this paper the Barlow and Proschan (1975) measure of the importance of a component in a binary co...
Measures of importance are quantitative criteria for ordering different components in the coherent s...
The first step in a reliability optimization process is to make a reliability assessment for each co...
The paper refers to the evaluation of the Unavailability of systems made by repairable binary compon...
Importance Measures (IMs) aim at quantifying the contribution of components to the system performanc...