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On the exact distribution of a delayed renewal process with exponential sum interarrival times

机译:关于具有指数和到达时间的延迟更新过程的精确分布

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The paper develops the exact probability functions of a delayed renewal process whose interarrival times are sums of two independent exponential random variables with likely unequal parameters. The initial arrival time is distributed as one of these exponential variables. The impetus for this. study comes from the electricity distribution industry whose circuit breaker breakdowns go unnoticed and come to light only at subsequent blackouts. By assuming that a circuit breaker's life time is exponential and interarrival times of blackouts are also exponential with a likely different parameter, that all variables are independent of each other, and that the circuit breaker is operative at the beginning of the observation period, the present model arises for counting the number of said breakdowns during a given time period. The result is obtained and proved through a recursive application of Laplace transform. Moments of the distribution, and its numerical delineation are given, and an extension to a regular renewal process which counts breakdowns' detections is also discussed. (c) 2004 Elsevier B.V. All rights reserved.
机译:本文开发了一个延迟更新过程的精确概率函数,该函数的到达时间是两个独立的指数随机变量的和,这些变量的参数可能不相等。初始到达时间作为这些指数变量之一分布。推动力。该研究来自配电行业,该行业的断路器故障并未引起注意,只有在随后的停电时才被发现。通过假设断路器的使用寿命是指数的,并且停电的到达时间也是指数的,且参数可能不同,所有变量彼此独立,并且断路器在观察期开始时可操作,因此出现了一个模型,用于计算给定时间段内所述故障的数量。通过拉普拉斯变换的递归应用获得并证明了结果。给出了分布的时刻及其数值描绘,还讨论了对定期更新过程的扩展,该过程对故障的检测进行计数。 (c)2004 Elsevier B.V.保留所有权利。

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