Optimal predictive maintenance policy for multi-state deteriorating system under periodic inspections

Ning Wang, Shudong Sun, Shubin Si, Zhiqiang Cai

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

1 Scopus citations

Abstract

This paper proposes a predictive maintenance model for multi-state Markov deteriorating system. In this model, a system subject to aging and fatal shocks and with states 0(initial condition)<1<2<...<L(failure condition) is described. Then, a control limit maintenance policy is proposed where the system is inspected periodical with period T to identify the system state and the action from {do-nothing, repair, replacement} is taken after that. The policy considers three maintenance variables (preventive maintenance threshold, failure threshold and inspection interval) to evaluate the long-time system availability. Furthermore, algorithms are developed to implement the optimal policies on Markov deteriorating system. Finally, the effectiveness and efficiency of the optimal policies is illustrated by numerical examples.

Original languageEnglish
Title of host publicationProceedings - 2010 2nd International Workshop on Intelligent Systems and Applications, ISA 2010
DOIs
StatePublished - 2010
Event2nd International Workshop on Intelligent Systems and Applications, ISA2010 - Wuhan, China
Duration: 22 May 201023 May 2010

Publication series

NameProceedings - 2010 2nd International Workshop on Intelligent Systems and Applications, ISA 2010

Conference

Conference2nd International Workshop on Intelligent Systems and Applications, ISA2010
Country/TerritoryChina
CityWuhan
Period22/05/1023/05/10

Keywords

  • Markov chain
  • Multi-state deteriorating system
  • Periodic inspections
  • Predictive maintenance

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