Statistical Inference for Multi-state Systems: The Weibull Case

A. Makrides, A. Karagrigoriou
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Abstract

Markov processes are widely used for reliability analysis because the number of failures in arbitrary time intervals in many practical cases can be described as a Poisson process and the time up to the failure and repair time are often exponentially distributed. In this work we focus on the estimation of both the intensity rates and transition probabilities via output performance observations using as an alternative distribution, the well known Weibull distribution.
多状态系统的统计推断:威布尔情况
马尔可夫过程广泛用于可靠性分析,因为在许多实际情况下,任意时间间隔内的故障数量可以描述为泊松过程,并且故障发生前的时间和修复时间通常呈指数分布。在这项工作中,我们专注于通过输出性能观察来估计强度率和转移概率,使用另一种分布,即众所周知的威布尔分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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