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Reliability Simulation Modeling Techniques under Multiple Degradation Mechanisms

  • Lan Wan
  • , Chuan Lv
  • , Weixuan Zhou
  • , Zhang Miao
  • , Yuxue Jin*
  • *Corresponding author for this work
  • Beihang University
  • China Academy of Electronics and Information Technology

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

Abstract

This paper explores the issue of state modeling for equipment under multiple degradation modes, aiming to propose a comprehensive method for assessing equipment reliability. The natural degradation of equipment is not due to a single mode but results from the combined effects of various mechanisms such as fatigue, corrosion, wear, and crack propagation. This phenomenon of multiple degradation mechanisms renders a single degradation model insufficient to fully characterize the natural evolution of equipment. Therefore, this study introduces different characterization processes for different degradation modes, with the goal of developing an integrated state modeling method that considers multiple degradation modes to more accurately predict and assess the current mission reliability of the equipment. Finally, through a case study, the effectiveness of the proposed method in practical application is verified, and a detailed analysis of the modeling results is conducted.

Original languageEnglish
Title of host publicationProceedings - 2024 15th International Conference on Reliability, Maintenance and Safety, ICRMS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages886-893
Number of pages8
ISBN (Electronic)9798331529116
DOIs
StatePublished - 2024
Event15th International Conference on Reliability, Maintenance and Safety, ICRMS 2024 - Gulin, China
Duration: 31 Jul 20242 Aug 2024

Publication series

NameProceedings - 2024 15th International Conference on Reliability, Maintenance and Safety, ICRMS 2024

Conference

Conference15th International Conference on Reliability, Maintenance and Safety, ICRMS 2024
Country/TerritoryChina
CityGulin
Period31/07/242/08/24

Keywords

  • Multiple Degradation Modes
  • Reliability Analysis
  • Stochastic Processes

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