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Models to consider load-sharing in reliability calculation and simulation of systems consisting of mechanical components

机译:在由机械零件组成的系统的可靠性计算和仿真中要考虑负载分担的模型

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The load-sharing case occurs in systems, if a load is shared by several components. Then the failure of a component results in a higher load share for the surviving components. This paper places emphasis on the analytic description of systems with load-sharing, the algebraic calculation and the simulative solution of their reliability. The capacity flow model, the Freund model and the state-graph method are presented as models for the analytic description. The state-graph method is the most general model: systems with individual failure behavior of the components, individual load steps as well as complex system structures can be considered. All three models are restricted to components with constant failure rates in the corresponding load level. However, in most mechanical systems the failure rates of components are not constant due to aging and wear-out. A more adequate method for the load-sharing case in mechanical systems is the application of simulation techniques. In this paper the general simulation algorithms are presented for 1-out-of-n systems consisting of components with constant failure rates and of components with time-dependent failure rates. In the case of constant failure rates, the failure times in the load levels can be sampled directly from the failure distributions due to the memory-less property of the exponential distribution. The simulation results are shown for both a 1-out-of-2 and a 1-out-of-3 system. For verification purpose the results of the simulation are compared with the analytic solution of the Freund model. In the case of time-dependent failure rates a dynamic modification of the failure distribution of the components is necessary. This is done by a time shift of the distributions and transformed random numbers. The simulation results are presented for a 1-out-of-2 and a 1-out-of-3 system. The failure behavior of the mechanical components is described by a Weibull distribution in each load level. In order to verify the simulation results the analytic bounds of the corresponding system with no increased load and maximum load are calculated.
机译:如果多个组件共享负载,则在系统中会发生负载共享情况。然后,某个组件的故障将为其余的组件带来更高的负载分担。本文着重于带负载分担系统的解析描述,代数计算及其可靠性的仿真解决方案。提出了能力流模型,弗氏模型和状态图方法作为分析描述模型。状态图方法是最通用的模型:可以考虑具有各个组件的个别故障行为,各个负载步骤以及复杂的系统结构的系统。所有这三个模型都限于在相应负载水平下具有恒定故障率的组件。但是,在大多数机械系统中,由于老化和磨损,部件的故障率不是恒定的。对于机械系统中的负载分担情况,一种更合适的方法是应用仿真技术。在本文中,提出了针对n分之一系统的通用仿真算法,该系统由具有恒定故障率的组件和具有随时间变化的故障率的组件组成。在恒定故障率的情况下,由于指数分布的无内存特性,可以直接从故障分布中采样负载级别的故障时间。显示了2选1和3选1系统的仿真结果。为了验证,将仿真结果与弗氏模型的解析解进行了比较。在时间依赖的故障率的情况下,必须动态修改组件的故障分布。这是通过分布和变换后的随机数的时移来完成的。给出了2选1和3选1系统的仿真结果。机械组件的故障行为通过每个负载水平下的威布尔分布来描述。为了验证仿真结果,计算了没有增加负荷和最大负荷的相应系统的解析边界。

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