Abstract
Focus on solving the life and reliability problems of long-life and high reliability products, a method of modeling and parameter estimation on reliability evaluation and life prediction with accelerated degradation data was proposed in this paper. In the first, three statistical methods of degradation test were analyzed, then according to the features of accelerated degradation data, the statistical model of degradation data based on pseudo-life was established. This method can effectively utilize the horizontal information of degradation data of product under different accelerated stress level, and integrate the advantage that continuous-time function model fits the degradation curve of product strongly, and improve the accuracy of reliability assessment and life prediction of product.
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