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MIXED WEIBULL DISTRIBUTION AS BEST REPRESENTATIVE OF FORCED OUTAGE DISTRIBUTION TO BE IMPLEMENTED IN BLOCKSIM

机译:混合威布尔分布作为BLOCKSIM中实施的强制中断分布的最佳代表

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When an RBD is required, Failure distribution and Outage distribution are requested as inputs for each block. Should field data exist, the two distributions can be obtained by managing data in the most appropriate manner. While the Failure distribution is often a right censored data set, the outage distribution is always a time-to-failure distribution obtained through the RRX interpolation. Moreover, being the reliability approach conservative, the weibull 3P assumption is welcome, because the gamma value, in this particular circumstance, guarantees a minimum outage duration. However it has been noticed that while the 2P sometimes could be not-conservative enough, the 3P could result too much conservative with the risk of declaring a lower target than the actual one and hence with the consequence of not being commercially competitive. The proposed approach applies and develops the mixed weibull application, where each subpopulation distribution comes out from a single dataset, which represents a step forward after the traditional 2P and the more conservative 3P.
机译:需要RBD时,请求失败分发和中断分布作为每个块的输入。如果存在现场数据,则可以通过以最合适的方式管理数据来获得两个分布。虽然失败分发通常是正确的审查数据集,但中断分布始终是通过RRX插值获得的失败时间分布。此外,作为保守的可靠性方法,欢迎Weibull 3P假设,因为在这种特殊情况下,伽马值保证最低的中断持续时间。然而,已经注意到,虽然2P有时可能是不够保守的,但是3P可能导致太多保守,否则宣布比实际目标更低的风险,因此在不具有商业竞争力的后果。所提出的方法适用并开发混合的Weibull应用程序,其中每个子迁移分布从单个数据集出来,该数据集出现在传统的2P和更保守的3P之后前进的一步。

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