Adaptive sequential predictive maintenance policy with nonperiodic inspection for hard failures

Lang Wu, Qiang Zhou

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

This paper proposes a novel adaptive maintenance policy for degrading systems subject to hard failure. Compared with traditional condition-based maintenance policies, the proposed predictive maintenance policy makes maintenance decisions adaptively based on model prognostic results. The prognostic model is continuously updated based on newly inspected data. The inspection times and preventive maintenance activities are scheduled online in a sequential manner based on the most current prediction of system reliability. A computationally efficient optimization scheme is proposed for obtaining optimal maintenance parameters. The proposed policy is demonstrated and its performance is evaluated through extensive simulations.

Original languageEnglish (US)
Pages (from-to)1173-1185
Number of pages13
JournalQuality and Reliability Engineering International
Volume37
Issue number3
DOIs
StatePublished - Apr 2021

Keywords

  • adaptive predictive maintenance
  • hard failure
  • nonperiodic inspection

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research

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