International Journal of Reliability, Risk and Safety: Theory and Application

International Journal of Reliability, Risk and Safety: Theory and Application

Mechanical Equipment Reliability Analysis: Case Study

Document Type : Industrial Case Study

Authors
Ali Nouri Qarahasanlou 1
Reza ShakorShahabi 1
Reza Barabadi 2
Negar Fallahnejad 1
1 Mining Engineering, Faculty of Technical & Engineering, Imam Khomeini International University, Qazvin, Iran
2 Faculty of Mining, Petroleum & Geophysics Engineering, Shahrood University of technology, Shahrood, Iran
10.30699/IJRRS.4.2.7
Abstract
In civil and mining industries, Wheel loaders are an important component and their cost capability at effective operation. The environmental and operational factors dramatically affect the performance of loaders. In many cases, failure data are often collected from multiple and distributed units in different operational conditions, which can introduce heterogeneity into the data. Part of such heterogeneity can be explained and isolated by the observable covariates, whose values and the way they can affect the item's reliability are known. However, some factors that may affect the item's reliability are typically unknown and lead to unobserved heterogeneity. These factors are categorized as unobserved covariates. In most reliability studies, the effect of unobserved covariates is neglected. This may lead to erroneous model selection for the time to failure of the item, as well as wrong conclusions and decisions. There is a lack of sufficient knowledge, theoretical background, and 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. The unobserved covariates will be analyzed using frailty models (Such as Mixed Proportional Hazard).A case will illustrate the application of the framework.
Keywords
Reliability
Observed Covariate
Unobserved Covariate
Mixed Proportional Hazard
Wheel loaders
Subjects
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International Journal of Reliability, Risk and Safety: Theory and Application
Volume 4, Issue 2
December 2021
Pages 59-70

  • Receive Date 25 July 2022
  • Revise Date 05 September 2022
  • Accept Date 07 September 2022