Accelerated Degradation Test Method Based on Improved Brownian Drift Motion

Abstract

The invention discloses an accelerated degradation testing method based on improved Brown drift motion. The accelerated degradation testing method comprises the steps: 1, selecting a degradation model: defining a degradation increment, and selecting a Brown drift motion model; 2, checking accelerated degradation testing data: determining whether different points exist or not, finding positions of the different points, and processing the different points according to the positions; 3, solving the degradation model; 4, solving a failure probability. The method has the technical point that a common Brown drift motion model is expanded based on the degradation increment, an accelerated degradation testing processing method is improved, common statistical distribution checking is replaced by different point accurate position checking, and a different point removing step is executed, so that parameter estimated values and the failure probability of the degradation model are obtained, and the service life and the reliability of a product can be evaluated. When the accelerated degradation testing method is used in an actual test, an improved Brown drift motion model still can be effectively utilized for modeling an accelerated degradation process under the situation that small time point failure may often appear, and the accelerated degradation testing method is closer to actual engineering requirements.

Description

technical field [0001] The invention belongs to the technical field of accelerated degradation test and relates to an accelerated degradation test method based on improved Brownian drift motion. Background technique [0002] With the development of science and technology level, products with long service life and very high reliability requirements are constantly appearing in fields such as the electronics industry. The traditional reliability verification method mainly records the failure and test time in the process of product degradation, and the key performance parameters of many products will change slowly during use or storage. This is called the performance degradation process. When the performance degradation exceeds a certain standard , it is considered that the product fails, so the failure of the product is a cumulative process of performance degradation. If the reliability assessment of long-life products is carried out according to the traditional life test tech...

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Problems solved by technology

However, since the model based on statistical data is generally based on the assumption that the degradation trajectory curve is linear and the standard deviation of the distribution of degradation is constant, the degradation model based on statistical data is only valid for a constant stress level, and it is not effective for the test process. In the case of sudden small faults that may cause outliers, it may not always be possible to achieve effective

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