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Extra resources for Accelerated Testing: Statistical Models, Test Plans, and Data Analysis (Wiley Series in Probability and Statistics)
If the first ENGINEERING CONSIDERATIONS 35 inspection is late, many specimens may fail before it. Then the data contain little information on the lower tail of the life distribution. That is, estimates of low percentiles are crude. So early inspection periods should be short. Stress. Stress measurements are usually accurate enough. An exception arises, for example, in voltage-endurance tests of insulation. Then stress is the voltage across the insulation divided by the insulation thickness in mils (milli-inches).
This may be done through direct measurement of specimen temperature or through a calculation of a correction based on physical theory. Other variables. Other independent variables need to be measured with suitable accuracy. Usually one needs a random measurement error that is enough smaller than the differences between specimens. More precisely, the standard deviation of random measurement error should be a fraction of that between specimens. The Model Choice of model. Analysis of data from an accelerated life test employs a model.
Such life data may be censored. In metal fatigue, such a test with a linearly increasing mechanical load is called a Prot test. Disadvantages. Progressive stress tests have the same disadvantages as step-stress tests. Moreover, it may be difficult to control the progressive stress accurately enough. Thus constant stress tests are generally recommended over progressive stress tests for reliability estimation. Chapter 10 presents progressive-stress models and data analyses. Examples. Endicott and others (1%1,1%1,1%5) used progressive testing on capacitors.
Accelerated Testing: Statistical Models, Test Plans, and Data Analysis (Wiley Series in Probability and Statistics) by Wayne B. Nelson