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Reliability BasicsReliability Allocation andOptimization using BlockSimIn, we discussed somepopular reliability allocation methods, including the equal, AGREE, ARINC,feasibility of objectives and repairable systems apportionmenttechniques. We also presented some practical applications usingReliaSoft's software. All of the methods discussedare based on the assumptions that:. The components' lifetimecharacteristics are described by the exponentialdistribution; in other words, the components all exhibit aconstant failure rate behavior. The components are allconnected in a series configuration reliability-wise.These methodologies are widelyused in many reliability prediction standards and are usefulwhen limited reliability data exists, usually during the initialdesign phase of a new product. When there are specific detailsconcerning the failure rate behavior of the product and there isa more complex configuration instead of just components inseries, we can go one step further and incorporate a moredetailed analysis of reliability allocation that is free of theabove assumptions. In this article we present a more advancedmethod for reliability allocation that is free of theseassumptions and can be performed with ReliaSoft's software.In BlockSim, we cancreate complex reliability block diagrams that model advancedsystems.
A reliability block diagram represents the reliabilityrelationships of the components in a system and can compriseblocks in any combination of series, parallel, stand-by and loadsharing configurations. After constructing the reliability modelof a complex system, we can optimize the allocation ofreliability to different components in order to meet areliability specification while considering the cost of theallocation.Reliability ImprovementMethodology in BlockSimThere are two approaches when trying to improve the reliabilityof a system: fault avoidance and fault tolerance. Faultavoidance is achieved by using highly reliable components, andfault tolerance is achieved by adding redundancy. Note thatalthough adding redundancy can sometimes be the easiest way toachieve a goal, it is not always the preferred solution, sinceit can result in greater system complexity and additionalproduct costs due to the increased weight or size.The optimum method ofallocating reliability should take into account the cost orrelative difficulty of improving the reliability of differentsubsystems or components. That way we are not simply allocatingreliability to components, but are solving the optimizationproblem of the most cost-effective and efficient way ofallocating or improving reliability in order to meet therequired system goal.
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Note that reliabilityrequirements are always associated with a specific missionduration, since reliability is defined as a function of aspecified lifetime variable, such as time, cycles, miles etc.BlockSim uses the followingdefault cost function that acts like a penalty function forincreasing a component's reliability.