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By Wayne B. Nelson

This useful source presents modern, statistical equipment for speeded up checking out together with try out types, analyses of information, and plans for trying out. each one subject is self-contained for simple reference. assurance is large and targeted adequate to function a textual content or reference. this useful ebook gains actual attempt examples in addition to information analyses, computing device courses, and references to the literature.

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Read or Download Accelerated Testing: Statistical Models, Test Plans, and Data Analysis 1st edition (Wiley Series in Probability and Statistics) PDF

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Extra resources for Accelerated Testing: Statistical Models, Test Plans, and Data Analysis 1st edition (Wiley Series in Probability and Statistics)

Sample text

Such a model is more complex than one for a constant stress test. Such cumulative exposure models (also called cumulative damage models) are like the weather. Everybody talks about them, but nobody does anything about them. Many models appear in the literature, few have been fitted to data, and even fewer assessed for adequacy of fit. Moreover, fitting such a model to data requires a sophisticated special computer program. Thus, constant stress tests are generally recommended over step-stress tests for reliability estimation.

Such socalled independent or explanatory variables include product design, material, manufacturing, operation or test, and environment variables. For the following discussion, they are grouped according to whether the variable (1) is investigated at several values to learn its effect, (2) is held fiied at one value, (3) varies uncontrolled but is observed to learn its effect, and (4) varies uncontrolled and unobserved. Continuous and categorical. Engineering variables can be continuous or categorical.

The A-ratio for ac voltage cycling of insulation is infinity, since the mean voltage is zero. Usually, on a fatigue test, all specimens see the same A-ratio as does an actual part in use, but different groups of specimens run at different mean stress levels. Such a test is then regarded as a constant stress test. 1 where the vertical axis shows the mean stress. Moreover, then specimen life is modeled with a constant stress model, and the data are analyzed accordingly. Assumed. In most such tests, the frequency and length of a stress cycle are the same as in actual product use.

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