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Accelerated degradation testing (ADT) Bayesian optimization design can determine prior distribution of model parameters by prior information, which avoiding the uncertainty to the result of design brought by assuming parameter selection arbitrarily. However, different people may have different tendencies when choosing prior distributions through the same prior information. It may result in different...
Space electronic products usually should meet the mission requirements of long life and low cost. Because of insufficient failure data, it is hard to assess the reliability precisely by using traditional reliability testing and statistical method. In this paper, a method of reliability assessment based on integration of highly accelerated life testing (HALT) and accelerated degradation testing (ADT)...
Product's degradation data is a major data source for inferring its failure time distribution model, which is usually used in application for Accelerated degradation testing (ADT) and Prognostic and Health Management (PHM), and has become a common approach to the reliability prediction for those highly reliable products. However, sometimes in the actual application, there is only one product and it...
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