Research of predictive maintenance for deteriorating system based on semi-Markov process

Ning Wang, Shudong Sun, Shubin Si, Jingyao Li

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

12 Scopus citations

Abstract

The paper proposes a predictive maintenance model for the deteriorating system with semi-Markov process, and presents a method to determine the best inspection and maintenance policy together. Furthermore, the phase-type (PH) algorithm is put forward to measure the transition probability matrix analytical tractability. The results of numerical simulation show that the model and algorithm are effective in improving maximal availability while optimizing the inspection rate. And it is also found that when the deterioration is the same at each failure stage, the optimal policy obtained by semi-Markov decision process with the phase-type approach (PSMDP) is a dynamic threshold scheme whose threshold value relates to the inspection rate.

Original languageEnglish
Title of host publicationIE and EM 2009 - Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management
Pages899-903
Number of pages5
DOIs
StatePublished - 2009
Event2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management, IE and EM 2009 - Beijing, China
Duration: 21 Oct 200923 Oct 2009

Publication series

NameIE and EM 2009 - Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management

Conference

Conference2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management, IE and EM 2009
Country/TerritoryChina
CityBeijing
Period21/10/0923/10/09

Keywords

  • Deteriorating system
  • Markov decision process
  • Predictive maintenance

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