Modeling failure data by 3-parameter Weibull distribution models

Tieling Zhang, Wenxu Li, R. Dwight
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引用次数: 7

Abstract

Many models with three parameters have been developed based on extension or generalization of the Weibull distribution. These models include modified Weibull, Weibull extension, extended Weibull and others. Seven such models are discussed in this paper, in addition to a generalization of the exponential distribution, and a flexible Weibull model with two parameters. These models are more flexible than the usual 2-parameter Weibull, and they are useful for modeling lifetime/failure data with different behaviors such as decreasing, increasing, bathtub-shaped, or even upside-down bathtub-shaped failure rate. In this paper, a procedure for selecting an optimal model for lifetime data analysis is presented based on the plots on Weibull probability paper (WPP). An example is provided to illustrate the procedure and the usefulness of these models. This procedure serves as a guideline for reliability engineers and statisticians when dealing with data modeling.
采用三参数威布尔分布模型对失效数据进行建模
基于威布尔分布的扩展或推广,已经建立了许多三参数模型。这些模型包括修正威布尔模型、扩展威布尔模型、扩展威布尔模型等。本文讨论了7个这样的模型,以及指数分布的推广和两个参数的柔性威布尔模型。这些模型比通常的2参数威布尔模型更灵活,它们对具有不同行为的寿命/故障数据(如减少、增加、浴缸形、甚至颠倒浴缸形的故障率)的建模很有用。本文提出了一种基于威布尔概率图的寿命数据分析优化模型的选择方法。最后给出了一个例子来说明这个过程和这些模型的实用性。在处理数据建模时,此过程可作为可靠性工程师和统计人员的指导方针。
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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