方差残差 生命老化强度函数

Ashutosh Singh
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引用次数: 0

摘要

定量测量系统和部件的老化程度对于准确评估可靠性和预测故障概率至关重要。这种测量可支持有效的维护计划、性能优化和成本管理。本文介绍了一种新的老化度量方法,即方差残余寿命老化强度(VRLAI)函数,并探讨了它在各种概率分布中的特性。此外,我们还描述了 VRLAI 函数定义的两个老龄化类别的闭合属性。我们提出了一种新的排序,称为方差残差生命衰老强度(VRLAI)排序,并讨论了它的各种特性。此外,我们还研究了一致性系统下 VRLAI 排序的封闭性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variance Residual Life Ageing Intensity Function
Quantitative measurement of ageing across systems and components is crucial for accurately assessing reliability and predicting failure probabilities. This measurement supports effective maintenance scheduling, performance optimisation, and cost management. Examining the ageing characteristics of a system that operates beyond a specified time $t > 0$ yields valuable insights. This paper introduces a novel metric for ageing, termed the Variance Residual Life Ageing Intensity (VRLAI) function, and explores its properties across various probability distributions. Additionally, we characterise the closure properties of the two ageing classes defined by the VRLAI function. We propose a new ordering, called the Variance Residual Life Ageing Intensity (VRLAI) ordering, and discuss its various properties. Furthermore, we examine the closure of the VRLAI order under coherent systems.
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