一种基于加速试验结果确定临界退化水平的方法

IF 2.2 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY
A. Hoang, Z. Vintr, D. Valis, D. Mazurkiewicz
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引用次数: 0

摘要

如今,系统越来越复杂,对其组成部分的可靠性要求越来越高,尤其是关键的系统部件。因此,为避免严重损坏,系统往往在实际发生故障前进行更换。被替换的部件被认为具有“软失效”,部件被替换的极限被称为退化过程的临界水平。确定产品临界水平的合适值是产品开发中的一个重要问题,也是基于退化数据通过数学模型预测产品的平均无故障时间(MTTF)或剩余使用寿命(RUL)的一个重要问题。本文介绍了一种基于加速试验失效数据确定临界水平的方法。将该方法应用于加速测试中发光二极管(LED)的降解过程,并基于Wiener过程模型,根据降解数据和发现的临界水平来预测LED的MTTF或RUL。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An approach in determining the critical level of degradation based on results of accelerated test
Nowadays, systems are more complex and require high reliability for their components, especially critical system components. Therefore, to avoid serious damage, system are often replaced before the actual failure. The replaced parts are considered to have “soft failure”, and the limit in which the parts are replaced is known as the critical level of the degradation process. Determining the appropriate value of the critical level for a product is an important problem in their exploitation, as well as for predicting the Mean Time to Failure (MTTF) or Remaining Useful Lifetime (RUL) of this product based on the degradation data by the mathematical models. In this article, an approach in determining the critical levels based on failure data from an accelerated test is introduced. This approach is applied with the degradation process of Light-Emitting Diodes (LED) in an accelerated test and a type of Wiener process-based model is used to predict the MTTF or RUL of LED based on their degradation data and the found critical level.
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来源期刊
CiteScore
5.70
自引率
24.00%
发文量
55
审稿时长
3 months
期刊介绍: The quarterly Eksploatacja i Niezawodność – Maintenance and Reliability publishes articles containing original results of experimental research on the durabilty and reliability of technical objects. We also accept papers presenting theoretical analyses supported by physical interpretation of causes or ones that have been verified empirically. Eksploatacja i Niezawodność – Maintenance and Reliability also publishes articles on innovative modeling approaches and research methods regarding the durability and reliability of objects.
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