Dynamic reliability analysis tool for ship machinery maintenance

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Abstract

This paper presents the development of the Machinery Risk Analysis (MRA) methodology for different ship machinery. This study is part of INCASS (Inspection Capabilities for Enhanced Ship Safety) FP7 EU funded research project, which tackles the issue of ship inspection and maintenance by accessing information related to ship surveys and incorporate harmonized cooperation of maritime stakeholders in order to avoid ship accidents, promote maritime safety and protect the environment. In this study, different systems are considered together with associated failure modes. The innovation of MRA is the consideration of multiple systems, sub-systems and components as well as failure interdependencies providing a holistic view of the reliability performance. Furthermore, MRA takes into account the system’s dynamic change of state, involving failure rate variation within time. The presented methodology involves the generation of a Markov Chain model integrated with the advantages of Bayesian Belief Networks (BBNs) developed in Java programming language.

Original languageEnglish
Title of host publicationTowards Green Marine Technology and Transport
Subtitle of host publicationProceedings of the 16th International Congress of the International Maritime Association of the Mediterranean (IMAM 2015), Pula, Croatia, 21-24 September 2015
EditorsC. Guedes Soares, R. Dejhalla, D. Pavletić
Place of PublicationLeiden, The Netherlands
Pages619-626
Number of pages8
DOIs
Publication statusPublished - 4 Sep 2015
Event16th International Congress of the International Maritime Association of the Mediterranean, IMAM 2015 - Hotel Park Plaza Histria, Pula, Pula, Croatia
Duration: 21 Sep 201524 Sep 2015
http://www.imamhomepage.org/imam2015/

Conference

Conference16th International Congress of the International Maritime Association of the Mediterranean, IMAM 2015
Abbreviated titleIMAM 2015
CountryCroatia
CityPula
Period21/09/1524/09/15
Internet address

Keywords

  • Bayesian networks
  • computer programming
  • failure analysis
  • Java programming language
  • machinery
  • marine engineering
  • Markov processes
  • risk analysis
  • risk assessment
  • safety engineering
  • shipbuilding
  • ships

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