Abstract
System lifespan modeling becomes more complicated when an external event causes the succession of failure in 2 or more system components. Models that don’t consider this common cause failure cause the wrong estimation of system reliability. Let us assume that there are data composed of numbers of successive failures in i, i = 1, ... , n out of n components of system. Data having these characteristics are closely related with the number of system components. This is a problem occurring frequently in the estimation of reliability with respect to environmental change among components in various systems. This paper is intended to examine the estimation methods of reliability for common cause failure at k-out of-n system.
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