Degradation Trend Prediction of Linear Regulator Based on SVR Under Nuclear Radiation Stress

Hongwei Qiao, Li Zhan, Jie Liu, Lin Zhang, Zhangchun Tang, Jia Xie
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Abstract

Due to the development of science and technology, many electronic products still need a long time to degrade and fail under the condition of accelerated life test, especially under the harsh test conditions such as nuclear radiation, and it brings great challenges to research on the reliability of electronic products. In order to obtain the performance index of electronic product degradation failure, this paper proposes to use support vector regression(SVR) method to predict the performance degradation index of AP1117E series linear voltage stabilizer under nuclear radiation stress, and use the degradation data obtained from the test and the predicted degradation data to complete the reliability evaluation of the device. The prediction method proposed in this paper is used in the actual reliability assessment engineering project, and it has played a certain suggestive role for future reliability assessment work.
基于SVR的线性调节器在核辐射胁迫下的退化趋势预测
由于科学技术的发展,许多电子产品在加速寿命试验的条件下,特别是在核辐射等恶劣的试验条件下,仍然需要很长时间才能降解失效,这给电子产品可靠性的研究带来了很大的挑战。为了获得电子产品退化失效的性能指标,本文提出采用支持向量回归(SVR)方法预测AP1117E系列线性稳压器在核辐射应力下的性能退化指标,并利用试验获得的退化数据和预测的退化数据完成对器件的可靠性评估。本文提出的预测方法在实际的可靠性评估工程项目中得到了应用,对今后的可靠性评估工作起到了一定的提示作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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