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Inspection-based Replacement Optimization Integrating Discrete and Continuous System States

  • Beihang University

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

Abstract

Multi-phase, particularly two-phase failure process is widely seen in industrial asset management. This study addresses a joint state-threshold-integrated inspection-based replacement planning model with regard to two-phase continuous failure process. The system is decided to be renewed when equally spaced inspections reveal: (a) the hidden defective state, (b) the performance reduction attaining a threshold and (c) the malfunction occurrence. The expected cost rate model is formulated, and the optimal decision-making in regard to inspection interval and degradation threshold is derived. The applicability and superior performance of this proposed policy is verified via a case study of high-speed railway device.

Original languageEnglish
Title of host publication2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022
EditorsWei Guo, Steven Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665496315
DOIs
StatePublished - 2022
Event2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022 - Yantai, China
Duration: 13 Oct 202216 Oct 2022

Publication series

Name2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022

Conference

Conference2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022
Country/TerritoryChina
CityYantai
Period13/10/2216/10/22

Keywords

  • cost benefit analysis
  • inspection planning
  • joint decision-making
  • optimization
  • replacement management

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