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Abstract:
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The accelerated degradation test (ADT) is an efficient tool for assessing the lifetime information of highly reliable products. Because conducting an ADT is very expensive, how to plan an ADT is a challenging issue for reliability analysts. By taking the experimental cost into consideration, this study proposes an efficient algorithm to determine the total sample size, testing stress levels, the measurement frequencies, and the number of measurements based on a class of exponential dispersion (ED) degradation models. For an ADT plan, the proposed method provides some design insights, and we further discuss the properties from the viewpoints of design.
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