Age-based Maintenance Scheduling for Flowmeters with Multiple Failure Modes and Covariates

Ying Liao, Yisha Xiang, Elias Keedy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Reliability assessment and maintenance scheduling of flowmeters are of great importance for process industry companies because of the need to ensure the production quality and reduce operational risks and costs. In practice, the failure process of flowmeters is complicated due to multiple failure modes arising from different electro-mechanical parts. Besides, there generally exists heterogeneity among the flowmeters that is caused by several factors (i.e., covariates) such as operational conditions. In this paper, we use the nonhomogeneous Poisson process (NHPP) model with covariates to assess the reliability of flowmeters and then derive the optimal age-based preventive maintenance (PM) policy based on the estimated reliability model. The effects of covariates are incorporated in the reliability model by means of a proportional intensity function. We apply the maximum likelihood method to estimate the model parameters and adopt the random weighted likelihood bootstrap procedure to address the statistical uncertainty. Real-world flowmeters failure data from a process industry company are used in the case study. The estimated intensity functions are shown to reasonably fit the failure data and the obtained optimal PM policies provide cost-efficient and covariate-specific maintenance strategy for the company.

Original languageEnglish
Title of host publication67th Annual Reliability and Maintainability Symposium, RAMS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728180175
DOIs
StatePublished - 2021
Event67th Annual Reliability and Maintainability Symposium, RAMS 2021 - Orlando, United States
Duration: May 24 2021May 27 2021

Publication series

NameProceedings - Annual Reliability and Maintainability Symposium
Volume2021-May
ISSN (Print)0149-144X

Conference

Conference67th Annual Reliability and Maintainability Symposium, RAMS 2021
Country/TerritoryUnited States
CityOrlando
Period05/24/2105/27/21

Keywords

  • age-based maintenance
  • covariates
  • flowmeters
  • multiple failure modes
  • nonhomogeneous Poisson process

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