Optimal maintenance policies for a safety-critical system and its deteriorating sensor

C.D. van Oosterom, L.M. Maillart, J.P. Kharoufeh

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
98 Downloads (Pure)

Abstract

We consider the integrated problem of optimally maintaining an imperfect, deteriorating sensor and the safety-critical system it monitors. The sensor's costless observations of the binary state of the system become less informative over time. A costly full inspection may be conducted to perfectly discern the state of the system, after which the system is replaced if it is in the out-of-control state. In addition, a full inspection provides the opportunity to replace the sensor. We formulate the problem of adaptively scheduling full inspections and sensor replacements using a partially observable Markov decision process (POMDP) model. The objective is to minimize the total expected discounted costs associated with system operation, full inspection, system replacement, and sensor replacement. We show that the optimal policy has a threshold structure and demonstrate the value of coordinating system and sensor maintenance via numerical examples.
Original languageEnglish
Pages (from-to)399-417
Number of pages19
JournalNaval Research Logistics
Volume64
Issue number5
DOIs
Publication statusPublished - Aug 2017

Keywords

  • Maintenance optimization
  • Sensor deterioration
  • Partially observable Markov decision process
  • Threshold policy
  • sensor deterioration
  • maintenance optimization
  • partially observable Markov decision process
  • threshold policy

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