Observed and unobserved heterogeneity in failure data analysis

Author:

Zaki Rezgar1ORCID,Barabadi Abbas1,Barabady Javad1ORCID,Nouri Qarahasanlou Ali2ORCID

Affiliation:

1. Department of Technology and Safety, UiT The Arctic University of Norway, Tromsø, Norway

2. Faculty of Technical & Engineering, Imam Khomeini International University, Qazvin, Iran

Abstract

In reality, failure data are often collected under diffract operational conditions (covariates), leading to heterogeneity among the data. Heterogeneity can be classified as observed and unobserved heterogeneity. Un-observed heterogeneity is the effect of unknown, unrecorded, or missing covariates. In most reliability studies, the effect of unobserved covariates is neglected. This may lead to inaccurate reliability modeling, and consequently, wrong operation and maintenance decisions. There is a lack of a systematic approach to model the unobserved covariate in reliability analysis. This paper aims to present a framework for reliability analysis in the presence of unobserved and observed covariates. Here, the unobserved covariates will be analyzed using frailty models. A case study will illustrate the application of the framework.

Publisher

SAGE Publications

Subject

Safety, Risk, Reliability and Quality

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal termination strategies considering phase redundancy;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2024-01-09

2. Operating Environmental Condition Effect on Reliability-Centred Maintenance;J MIN ENVIRON;2023

3. Optimal pricing and healthcare warranty strategies for chronic diseases;Computers & Industrial Engineering;2022-10

4. Reliability evaluation of repairable systems considering component heterogeneity using frailty model;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2022-08-03

5. A general model, estimation, and procedure for modeling recurrent failure process of high-voltage circuit breakers considering multivariate impacts;Reliability Engineering & System Safety;2022-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3