Probabilistic risk assessment of condition monitoring of marine diesel engines

Konstantinos Dikis, Iraklis Lazakis, Osman Turan

Research output: Contribution to conferencePaper

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Abstract

This paper scopes to provide a suggestion on the maintenance outline as perceived from the evaluation of an extended literature review on marine engineering systems and applications sourced from research and
industrial studies. The present research contributes in the creation and initial implementation of a probabilistic multi-component prognostic Condition Monitoring model for ship machinery and equipment maintenance
scheduling. Systems involved include engine internal and external components, starting, cooling, and lubrication and control monitoring systems. The overall reliability performance of these sub-systems and the entire Main
Engine’s is suggested. Moreover, this paper will present the components and failure types’ layout arrangement of engine internal and external sub-systems as well as the overall reliability performance of the sub-systems
Original languageEnglish
Number of pages9
Publication statusPublished - 6 Jul 2014
EventICMT 2014 - University of Strathclyde, Glasgow, United Kingdom
Duration: 7 Jul 20149 Jul 2014
http://www.icname.org/show.asp?id=28

Conference

ConferenceICMT 2014
Abbreviated titleICMT 2014
CountryUnited Kingdom
CityGlasgow
Period7/07/149/07/14
Internet address

Keywords

  • probabilistic risk assessment of condition monitoring of
  • diesel engines
  • marine
  • main engine
  • components
  • reliability
  • condition monitoring
  • maintenance
  • probability
  • failure

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