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A pseudo-likelihood analysis for incomplete warranty data with a time usage rate variable and production counts

机译:具有时间使用率变量和生产数量的不完整保修数据的伪可能性分析

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摘要

The most direct purpose of collecting warranty data is tracking associated costs. However, they are also useful for quantifying a relationship between use rate and product time-to-first-failure and for estimating the distribution of product time-to-first-failure (which is modeled in this article as depending on use rate and a unit potential life length under continuous use). Employing warranty data for such reliability analysis purposes is typically complicated by the fact that some parts of some warranty data records are missing. A pseudo-likelihood methodology is introduced to deal with some kinds of incomplete warranty data (such as that available in a motivating real case from a machine manufacturer). A use rate distribution, the distribution of time to first failure, and the time associated with a cumulative probability of first failure are estimated, based on the proposed approach and available data.
机译:收集保修数据的最直接目的是跟踪相关成本。但是,它们对于量化使用率和产品首次失效时间之间的关系以及估计产品首次失效时间的分布也很有用(在本文中根据使用率和失效时间进行建模)连续使用下的单位潜在寿命)。由于缺少某些保修数据记录的某些部分,因此为此类可靠性分析而使用保修数据通常会很复杂。引入了伪似然法,以处理某些不完整的保修数据(例如,在有动机的真实情况下,可从机器制造商处获得的数据)。基于提出的方法和可用数据,估计了使用率分布,首次故障时间的分布以及与首次故障的累积概率相关的时间。

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