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Reliability allocation is a vital step of reliability design. A scientific allocation method can make the system owns the highest reliability while expending the minimum costs. The current allocation methods including traditional methods, risk priority number based (RPN-based) methods and cost-based methods etc. The above-mentioned allocation methods have following shortages ubiquitously: The traditional allocation methods do not consider the failure (1) effect on system, which makes the results incredible. The same weight of factors and equivalence relationship be(2) tween different severities cause the results of RPN-based methods deviating from reality. It is difficult to obtain the concrete cost statistics, and the cal(3) culation process of cost function is too complex, which makes the cost-based allocation methods impractical.

A comprehensive and practical reliability allocation method considering failure effects and reliability costs