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Using probability distribution functions in reliability analyses

机译:在可靠性分析中使用概率分布函数

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摘要

The use of probability distributions to describe reliability inputs such as failure rates and restoration times is fairly new compared to using average values for parameters. Predictive indices of composite power system reliability are frequently calculated but not directly used in the decision-making process, possibly because the indices are usually described using average values and convey little information about risk. More information can be derived and a different impression given by indices of a reliability analysis when probability distributions are used to describe the inputs and outputs, as shown in examples presented in this paper.
机译:与使用平均值作为参数相比,使用概率分布来描述可靠性输入(例如故障率和恢复时间)是相当新的。复合电力系统可靠性的预测指标经常被计算,但并未直接用于决策过程,这可能是因为该指标通常使用平均值来描述,并且几乎没有传达有关风险的信息。当概率分布用于描述输入和输出时,可以得出更多信息,并且可靠性分析的索引会给人以不同的印象,如本文示例所示。

著录项

  • 来源
    《Electric power systems research》 |2011年第4期|p.915-921|共7页
  • 作者

    M. Edimu; C.T. Gaunt; R. Herman;

  • 作者单位

    Department of Electrical Engineering, University of Cape Town, Rondebosch 7701, South Africa;

    Department of Electrical Engineering, University of Cape Town, Rondebosch 7701, South Africa;

    Department of Electrical Engineering, University of Cape Town, Rondebosch 7701, South Africa;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    reliability indices; probability distributions; monte carlo simulation;

    机译:可靠性指标;概率分布;蒙特卡洛模拟;

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