产品可靠性评估的Wiener过程退化模型仿真研究

IF 0.8 Q3 ENGINEERING, MULTIDISCIPLINARY
Herbert Hove, Farai Mlambo
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引用次数: 1

摘要

本文探讨了维纳过程作为退化模型的应用。讨论了其作为退化模型的适用性,并借助蒙特卡罗模拟进行了论证。特别是对于单调退化系统,本文证明了损伤的不可逆累积可以用维纳极大值过程来模拟。维纳峰的第一次通过时间和它的最大值是一致的。通过将维纳过程模型应用于实际的砷化镓(GaAs)激光通信系统数据,突出了从退化数据评估系统可靠性的实际优势。实际数据应用结果表明,退化分析允许在不影响估计精度的情况下更早地得出关于系统可靠性的结论——这是一个主要的实际优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Wiener Process Degradation Model for Product Reliability Assessment: A Simulation Study
This paper examines the application of the Wiener process as a degradation model. Its appropriateness as a degradation model is discussed and demonstrated with the aid of Monte Carlo simulations. In particular and for monotonically degrading systems, this paper demonstrates that the irreversible accumulation of damage can be modelled by the Wiener maximum process. First passage times of the Wiener and its maximum process are also revealed to coincide. Practical advantages of assessing system reliability from degradation data are highlighted by applying the Wiener process model to a real gallium arsenide (GaAs) laser data for telecommunication systems. The real data application results demonstrate that degradation analysis allows for conclusions about system reliability to be reached earlier without compromising estimation accuracy—a major practical advantage.
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来源期刊
Modelling and Simulation in Engineering
Modelling and Simulation in Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
2.70
自引率
3.10%
发文量
42
审稿时长
18 weeks
期刊介绍: Modelling and Simulation in Engineering aims at providing a forum for the discussion of formalisms, methodologies and simulation tools that are intended to support the new, broader interpretation of Engineering. Competitive pressures of Global Economy have had a profound effect on the manufacturing in Europe, Japan and the USA with much of the production being outsourced. In this context the traditional interpretation of engineering profession linked to the actual manufacturing needs to be broadened to include the integration of outsourced components and the consideration of logistic, economical and human factors in the design of engineering products and services.
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