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首页> 外文期刊>International Journal of Reliability and Safety >Non-parametric hazard rate estimation of hard failures with known mileage accumulation rates in vehicle population
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Non-parametric hazard rate estimation of hard failures with known mileage accumulation rates in vehicle population

机译:已知车辆里程累积率的硬故障的非参数危险率估计

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摘要

Major automobile companies spend billions of dollars annually towards warranty costs. Engineers carry out field reliability studies to obtain appropriate feedback for design, manufacturing, and/or service fix that help to reduce the high warranty costs. Warranty claims data, however, are known to be messy and need to be carefully used during statistical modelling and analysis to extract useful feedback. Hazard rate estimation is an important step for reliability and design engineers in obtaining a meaningful feedback from warranty claims data. The methodology discussed in this paper uses mileage accumulation rates in the vehicle population to calculate the number of vehicles at risk of a warranty claim at the start of a month and to provide a non-parametric estimate of the hazard rate. Although there are many books and articles that discuss reliability and hazard rate analysis in such a situation, this article provides a simple and stepwise methodology with an application example for component/sub-system level hazard rate estimation when dealing with automobile warranty data.
机译:大型汽车公司每年花费数十亿美元用于保修成本。工程师进行现场可靠性研究,以获得有关设计,制造和/或服务修复的适当反馈,从而有助于降低高额的保修成本。但是,众所周知,保修索赔数据比较混乱,需要在统计建模和分析过程中仔细使用以获取有用的反馈。危险率估算是可靠性和设计工程师从保修索赔数据中获得有意义的反馈的重要步骤。本文讨论的方法使用了车辆人口中的里程累积率来计算一个月初有保修索赔风险的车辆数量,并提供危险率的非参数估计。尽管有很多书籍和文章讨论了这种情况下的可靠性和危险率分析,但是本文提供了一种简单而逐步的方法,并提供了一个处理汽车保修数据时组件/子系统级危险率估计的应用示例。

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