Step stress accelerated degradation data assessment method based on gray prediction models

Abstract

Disclosed is a step stress accelerated degradation data assessment method based on gray prediction models, which includes five steps: step one: performing primary process and conversion to test data to obtain data series of performance degradation volume of each test sample under each stress level; step two: building prediction models through gray prediction, calculating model parameters, and testing prediction accuracy of each model; step three: calculating the time when each sample reaches a degradation threshold Df under a stress level Sa to obtain life distribution types of samples and general parameters under each stress level; step four: finding relationship equations between general parameters and stress levels, namely, acceleration equations; and step five: estimating product general distribution parameters under normal stress levels through extrapolation methods according to the acceleration equations, and obtaining product reliability functions under normal use conditions according to the estimated values of general parameters. According to the assessment method, gray system fitting product degradation path is utilized so that defects of other models are overcome and the prediction accuracy is improved.

Description

(1) Technical field [0001] The invention relates to an evaluation method of accelerated degradation data, in particular to an evaluation method of step stress accelerated degradation data based on a gray prediction model. For the problem that the degradation trajectory of complex systems is difficult to fit, the gray system theory GM (1.1) prediction model is used to predict the performance degradation of the product in the step stress accelerated degradation test, and to obtain the life characteristic distribution of the product, which belongs to the application Mathematics and reliability engineering technical field. (2) Background technology [0002] With the rapid development of science and technology, the aerospace field has put forward high reliability and long life requirements for electronic products. Applying traditional testable methods to evaluate its life and reliability indicators takes a long time and consumes a lot of manpower, material resources and financia...

AI Technical Summary

Problems solved by technology

[0005] (1) Purpose: The purpose of this invention is to provide a kind of step stress accelerated degradation data evaluation method based on the gray prediction model, which solves the practical problem that the degradation trajectory of complex systems is difficult to fit in the step stress test, and is useful for advancing products Reliable help with evaluation cycle and accuracy

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