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- W4237374420 abstract "Abstract Many of today's products are capable of operating under extremes of environmental stress and for thousands of hours without failures. For a variety of reasons, manufacturers may wish to obtain reliability results for their products more quickly than they can with data obtained under normal operating conditions. Consequently, traditional life data analyses are no longer sufficient to identify design weaknesses or validate life prediction. Accelerated life testing (ALT) is an approach for obtaining more information from a given test time than would normally be possible. It does this by subjecting items to test environment that is more severe than those experienced during normal use. ALT uses a model relating reliability (a life) measured under high‐stress conditions to that which is expected under normal operation to determine the reliability (or length of life). Various parametric and nonparametric models have been introduced to describe the relationship between the distribution functions of lifetimes for different stress levels. The parametric models assume a particular form of the distribution functions for different stress levels and the relationship between them. The approach in this article is nonparametric, where only a relationship between the distribution functions corresponding to any two different stress levels is assumed." @default.
- W4237374420 created "2022-05-12" @default.
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- W4237374420 date "2007-12-14" @default.
- W4237374420 modified "2023-10-12" @default.
- W4237374420 title "Accelerated Life Tests: Nonparametric Approach" @default.
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- W4237374420 doi "https://doi.org/10.1002/9780470061572.eqr374" @default.
- W4237374420 hasPublicationYear "2007" @default.
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