Mean Residual Life Ageing Intensity Function

Ashutosh Singh, Ishapathik Das, Asok Kumar Nanda, Sumen Sen
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Abstract

The ageing intensity function is a powerful analytical tool that provides valuable insights into the ageing process across diverse domains such as reliability engineering, actuarial science, and healthcare. Its applications continue to expand as researchers delve deeper into understanding the complex dynamics of ageing and its implications for society. One common approach to defining the ageing intensity function is through the hazard rate or failure rate function, extensively explored in scholarly literature. Equally significant to the hazard rate function is the mean residual life function, which plays a crucial role in analyzing the ageing patterns exhibited by units or components. This article introduces the mean residual life ageing intensity (MRLAI) function to delve into component ageing behaviours across various distributions. Additionally, we scrutinize the closure properties of the MRLAI function across different reliability operations. Furthermore, a new order termed the mean residual life ageing intensity order is defined to analyze the ageing behaviour of a system, and the closure property of this order under various reliability operations is discussed.
平均残余寿命老化强度函数
老龄化强度函数是一种功能强大的分析工具,可为可靠性工程、精算科学和医疗保健等不同领域的老龄化过程提供有价值的见解。随着研究人员深入了解老龄化的复杂动态及其对社会的影响,老龄化强度函数的应用范围也在不断扩大。界定老龄化强度函数的一种常见方法是通过危险率或失效率函数,学术文献对此进行了广泛探讨。与危险率函数同样重要的是平均残余寿命函数,它在分析单位或组成部分所表现出的老龄化模式中起着至关重要的作用。本文介绍了平均残余寿命老化强度(MRLAI)函数,以深入研究不同分布下的组件老化行为。此外,我们还仔细研究了 MRLAI 函数在不同可靠性操作中的闭合特性。此外,我们还定义了一个新的阶次,即平均残余寿命老化强度阶次,用于分析系统的老化行为,并讨论了该阶次在不同可靠性操作下的闭合特性。
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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