Simulation based comparison of predictive maintenance policies

Tiedo Tinga, R.H.P. Janssen

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

When an asset is operated in variable conditions, its operational efficiency can be improved significantly when the maintenance is performed in a dynamic manner. This means that variations in usage and operating environment are taken into account when deciding on the length of the maintenance intervals. Several predictive maintenance strategies, that enable such an approach, are nowadays being developed. However, demonstrating the benefits of these new maintenance concepts is generally difficult. As a result, implementation of the concepts is still rather limited. In this paper, a previously proposed modeling framework is used to quantify the performance of different maintenance policies for a navy frigate. A corrective policy will be used as a reference situation. Then the performance of a calendar time based, usage severity based and condition based maintenance policy will be calculated and compared to the reference policy. In all cases the performance of the policies is quantified through the total maintenance costs and the achieved system availability.
Original languageEnglish
Title of host publicationSafety, reliability and risk analysis : Beyond the horizon
EditorsR. Steenbergen, P. van Gelder
Place of PublicationLondon
PublisherTaylor & Francis
Pages1043-1049
DOIs
Publication statusPublished - 2013
EventEuropean Safety and Reliability Conference, ESREL 2013 - Amsterdam, Netherlands
Duration: 29 Sep 20132 Oct 2013

Publication series

Name
PublisherTaylor & Francis Group

Conference

ConferenceEuropean Safety and Reliability Conference, ESREL 2013
Abbreviated titleESREL
CountryNetherlands
CityAmsterdam
Period29/09/132/10/13

Keywords

  • METIS-298730
  • IR-87776

Fingerprint Dive into the research topics of 'Simulation based comparison of predictive maintenance policies'. Together they form a unique fingerprint.

Cite this