[[abstract]]This paper presents a conditional probability method to evaluate the reliability or availability of a system whose components failures can be s-independent or have a common-cause. Different failure types can be in each cut-set. By applying pivotal decomposition, the chain rule of conditional probability, and the recursive rule of probability of a union of events, I obtain the steady-state system unavailability. This approach requires the failure & repair rates of each component due to s-independent causes, the occurrence rate of each common-cause failure, and the mean duration of each common-cause. Hence it is practical and useful. The general model in the adverse environment assumes s-dependency and faces the dilemma of how to ...
To achieve commercialization and wide acceptance in industrial application, reliability analysis for...
Common cause failures (CCFs) have been an important issue in reliability analysis for several decade...
Recent years have seen a growth in research on system reliability and maintenance. Various studies i...
[[abstract]]The purpose of this article is to extend the pivotal decomposition method for system ava...
In estimating the reliability of a system of components, it is ordinarily assumed that the component...
[[abstract]]An efficient method for calculating system reliability with CCFs (common-cause failures)...
This paper presents nonparametric predictive inference for system reliability following common-cause...
The effective operation of an entire industrial system is sometimes strongly dependent on the reliab...
Fault-tolerant systems designed with redundancy techniques are typically subject to common-cause fai...
We consider systems having many independent components connected in a parallel or series configurati...
[[abstract]]This article is to generalize the so-called 'Inclusion & Exclusion' and 'Sum of Mixed Pr...
Common-Cause Failures (CCF) impose severe consequences on a complex system’s reliability and overall...
Conditional reliability measures provide a more detailed description of the performance of a system,...
The reliability of consecutive-k-out-of-n: F system (or C (k, n: F) system) has aroused great intere...
The paper shows how Monte Carlo methods can be improved significantly by conditioning on a suitable ...
To achieve commercialization and wide acceptance in industrial application, reliability analysis for...
Common cause failures (CCFs) have been an important issue in reliability analysis for several decade...
Recent years have seen a growth in research on system reliability and maintenance. Various studies i...
[[abstract]]The purpose of this article is to extend the pivotal decomposition method for system ava...
In estimating the reliability of a system of components, it is ordinarily assumed that the component...
[[abstract]]An efficient method for calculating system reliability with CCFs (common-cause failures)...
This paper presents nonparametric predictive inference for system reliability following common-cause...
The effective operation of an entire industrial system is sometimes strongly dependent on the reliab...
Fault-tolerant systems designed with redundancy techniques are typically subject to common-cause fai...
We consider systems having many independent components connected in a parallel or series configurati...
[[abstract]]This article is to generalize the so-called 'Inclusion & Exclusion' and 'Sum of Mixed Pr...
Common-Cause Failures (CCF) impose severe consequences on a complex system’s reliability and overall...
Conditional reliability measures provide a more detailed description of the performance of a system,...
The reliability of consecutive-k-out-of-n: F system (or C (k, n: F) system) has aroused great intere...
The paper shows how Monte Carlo methods can be improved significantly by conditioning on a suitable ...
To achieve commercialization and wide acceptance in industrial application, reliability analysis for...
Common cause failures (CCFs) have been an important issue in reliability analysis for several decade...
Recent years have seen a growth in research on system reliability and maintenance. Various studies i...