In summary, accelerated life testing analysis can be conducted on data collected from carefully designed quantitative accelerated life tests. Well-designed accelerated life tests will apply stress(es) at levels that exceed the stress level the product will encounter under normal use conditions in order to accelerate the failure modes that would occur under use conditions. An underlying life distribution (like the exponential, Weibull and lognormal lifetime distributions) can be chosen to fit the life data collected at each stress level to derive overstress pdfs for each stress level. A life-stress relationship (Arrhenius, Eyring, etc.) can then be chosen to quantify the path from the overstress pdfs in order to extrapolate a use level pdf. From the extrapolated use level pdf, a variety of functions, including reliability, failure rate, mean life, warranty time etc., can be derived.
See Also:
Understanding Accelerated Life Test Analysis
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