一种预测消费品在保修期累积故障的简单方法

N. Sarawgi, S.K. Kurtz
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引用次数: 4

摘要

在消费者和商业产品的设计和制造中,一个重要的设计标准是以日历时间衡量的保修期长度。了解保修期内预计的故障次数是非常重要的。本文提供了一种工程工具,该工具将根据实验室寿命数据和仅在总可用时间的有限部分运行的产品的使用率数据来预测保修期内的累积故障。该方法使用使用率分布和实验室寿命分布的联合分布来将使用时间转换为日历时间,而不是平均使用量,因为产品在该领域的使用也遵循广泛的统计分布。所提出的技术允许在预期保修期内精确计算累积的现场故障,因此作为工程师设计优化和产品发布决策的工具是有用的。
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A simple method for predicting the cumulative failures of consumer products during the warranty period
In the design and manufacturing of both consumer and commercial products, an important design criteria is the length of the warranty period measured in calendar time. It is very important to know the expected number of failures during the warranty period. This paper provides an engineering tool that will predict the cumulative failures over the warranty period based on laboratory life data and the usage rate data for the products that are operated for only a limited fraction of the total available time. This method uses a joint distribution of the usage rate distribution and the laboratory life distribution to translate usage time to calendar time and not the mean usage since the product use in the field also follows a broad statistical distribution. The proposed technique permits an accurate calculation of the cumulative field failure over prospective warranty periods and thus is useful as an engineers' tool in design optimization as well as in decisions on product release.
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