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8.
Assessing Product Reliability
8.1. Introduction 8.1.8. How can you evaluate reliability from the "bottom-up" (component failure mode to system failure rate)?
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| An r out of n model is a system that survives when at least r of its components are working (any r) | An "r out of n"
system contains both the series system model and
the parallel system model as special cases. The
system has n components that operate or fail independently of one
another and as long as at least r of these components (any r)
survive, the system survives. System failure occurs when the (n-r+1)th
component failure occurs.
When r = n, the r out of n model reduces to the series model. When r = 1, the r out of n model becomes the parallel model. We treat here the simple case where all the components are identical. Formulas and assumptions for r out of n model (identical components):
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| Formula for an r out of n system where the components are identical | System reliability is given by adding the probability of
exactly r components surviving to time t to the probability
of exactly (r+1) components surviving, and so on up to the probability
of all components surviving to time t. These are binomial probabilities
(with p = R(t)), so the system reliability is given by:
Note: If we relax the assumption that all the components are identical, then Rs(t) would be the sum of probabilities evaluated for all possible terms that could be formed by picking at least r survivors and the corresponding failures. The probability for each term is evaluated as a product of R(t)'s and F(t)'s. For example, for n = 4 and r = 2, the system reliability would be (abbreviating the notation for R(t) and F(t) by using only R and F) Rs = R1R2F3F4
+ R1R3F2F4 + R1R4F2F3
+ R2R3F1F4
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