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A simple approximation to the renewal function (reliability theory)

机译:更新函数的简单近似(可靠性理论)

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摘要

The authors present a simple, easy-to-understand approximation to the renewal function that is easy to implement on a personal computer. The key idea is that, for small values of time, the renewal function is almost equal to the cumulative distribution function of the interrenewal time, whereas for larger values of time an asymptotic expansion depending only on the first and second moment of the interrenewal time can be used. The relative error is typically smaller than a few percent for Weibull interrenewal times. The simple approximation methods works very well with one term if not too much accuracy is required (e.g. in the block replacement problem) or if the interrenewal (failure) distribution is not exactly known (e.g. only the first two moments are known). Although the accuracy of the simple approximation can be improved by increasing the number of terms, this strategy is not advocated since speed and simplicity are lost. If high accuracy is required, it is better to use another approximating method (e.g. power series expansion or cubic splines method).
机译:作者提出了一个简单,易于理解的近似于更新功能,该更新功能易于在个人计算机上实现。关键思想是,对于较小的时间值,更新函数几乎等于间隔更新时间的累积分布函数,而对于较大的时间值,仅取决于间隔更新时间的第一和第二时刻的渐近展开可以使用。对于Weibull间隔更新时间,相对误差通常小于百分之几。如果不需要太高的精度(例如在块替换问题中)或如果不完全知道更新(故障)分布(例如仅知道前两个时刻),则简单的近似方法可以很好地处理一个项。尽管可以通过增加项数来提高简单逼近的准确性,但是由于速度和简单性的丧失,因此不提倡这种策略。如果需要高精度,则最好使用另一种近似方法(例如幂级数展开或三次样条方法)。

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