{"title":"Variance Residual Life Ageing Intensity Function","authors":"Ashutosh Singh","doi":"arxiv-2409.10591","DOIUrl":null,"url":null,"abstract":"Quantitative measurement of ageing across systems and components is crucial\nfor accurately assessing reliability and predicting failure probabilities. This\nmeasurement supports effective maintenance scheduling, performance\noptimisation, and cost management. Examining the ageing characteristics of a\nsystem that operates beyond a specified time $t > 0$ yields valuable insights.\nThis paper introduces a novel metric for ageing, termed the Variance Residual\nLife Ageing Intensity (VRLAI) function, and explores its properties across\nvarious probability distributions. Additionally, we characterise the closure\nproperties of the two ageing classes defined by the VRLAI function. We propose\na new ordering, called the Variance Residual Life Ageing Intensity (VRLAI)\nordering, and discuss its various properties. Furthermore, we examine the\nclosure of the VRLAI order under coherent systems.","PeriodicalId":501379,"journal":{"name":"arXiv - STAT - Statistics Theory","volume":"52 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Statistics Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.