Importance measures are helpful in finding which components should receive more attention than others in system development. In this paper a general importance measure using the system yield function is suggested. Some new results are obtained.component importance coherent system Barlow-Proschan measure Natvig measure expected yield
In this paper, overviewing the previous studies of importance measure of components in a system, we ...
For a long time now different importance measures are put to use in reliability literature for impor...
Importance analysis of noncoherent systems is limited, and is generally inaccurate because all measu...
AbstractImportance measures are helpful in finding which components should receive more attention th...
AbstractA new measure of the importance of the components in a coherent system and of the basic even...
In this paper we discuss how to measure the component importance for a system in its signature repre...
In this paper the Barlow and Proschan (1975) measure of the importance of a component in a binary co...
AbstractIn this paper we suggest a new measure of the importance of a component in a coherent system...
Measures of importance are quantitative criteria for ordering different components in the coherent s...
In this paper we review the theory of importance measures for multicomponent binary systems starting...
In many industries, system reliability needs assuring at the design stage and improving at the opera...
Component importance analysis is a key part of the system reliability quantification process. It ena...
In Natvig and Gåsemyr (2009) dynamic and stationary measures of importance of a component in a binar...
A new reliability importance measure for components in a system, that we call Representativeness mea...
peer reviewedFor a coherent system the Barlow-Proschan importance index, defined when the component ...
In this paper, overviewing the previous studies of importance measure of components in a system, we ...
For a long time now different importance measures are put to use in reliability literature for impor...
Importance analysis of noncoherent systems is limited, and is generally inaccurate because all measu...
AbstractImportance measures are helpful in finding which components should receive more attention th...
AbstractA new measure of the importance of the components in a coherent system and of the basic even...
In this paper we discuss how to measure the component importance for a system in its signature repre...
In this paper the Barlow and Proschan (1975) measure of the importance of a component in a binary co...
AbstractIn this paper we suggest a new measure of the importance of a component in a coherent system...
Measures of importance are quantitative criteria for ordering different components in the coherent s...
In this paper we review the theory of importance measures for multicomponent binary systems starting...
In many industries, system reliability needs assuring at the design stage and improving at the opera...
Component importance analysis is a key part of the system reliability quantification process. It ena...
In Natvig and Gåsemyr (2009) dynamic and stationary measures of importance of a component in a binar...
A new reliability importance measure for components in a system, that we call Representativeness mea...
peer reviewedFor a coherent system the Barlow-Proschan importance index, defined when the component ...
In this paper, overviewing the previous studies of importance measure of components in a system, we ...
For a long time now different importance measures are put to use in reliability literature for impor...
Importance analysis of noncoherent systems is limited, and is generally inaccurate because all measu...