Dynamic reliability analysis tool for ship machinery maintenance

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)
12 Downloads (Pure)

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

Fingerprint

reliability analysis
Reliability analysis
machinery
Machinery
Ships
Risk analysis
programming language
Inspection
methodology
Java programming language
subsystem
safety
accident
Bayesian networks
research project
EU
stakeholder
Markov processes
Failure modes
innovation

Keywords

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

Cite this

Dikis, K., Lazakis, I., & Theotokatos, G. (2015). Dynamic reliability analysis tool for ship machinery maintenance. In C. G. Soares, R. Dejhalla, & D. Pavletić (Eds.), Towards Green Marine Technology and Transport: Proceedings of the 16th International Congress of the International Maritime Association of the Mediterranean (IMAM 2015), Pula, Croatia, 21-24 September 2015 (pp. 619-626). Leiden, The Netherlands. https://doi.org/10.1201/b18855-81
Dikis, K. ; Lazakis, I. ; Theotokatos, G. / Dynamic reliability analysis tool for ship machinery maintenance. Towards Green Marine Technology and Transport: Proceedings of the 16th International Congress of the International Maritime Association of the Mediterranean (IMAM 2015), Pula, Croatia, 21-24 September 2015. editor / C. Guedes Soares ; R. Dejhalla ; D. Pavletić. Leiden, The Netherlands, 2015. pp. 619-626
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Dikis, K, Lazakis, I & Theotokatos, G 2015, Dynamic reliability analysis tool for ship machinery maintenance. in CG Soares, R Dejhalla & D Pavletić (eds), Towards Green Marine Technology and Transport: Proceedings of the 16th International Congress of the International Maritime Association of the Mediterranean (IMAM 2015), Pula, Croatia, 21-24 September 2015. Leiden, The Netherlands, pp. 619-626, 16th International Congress of the International Maritime Association of the Mediterranean, IMAM 2015, Pula, Croatia, 21/09/15. https://doi.org/10.1201/b18855-81

Dynamic reliability analysis tool for ship machinery maintenance. / Dikis, K.; Lazakis, I.; Theotokatos, G.

Towards Green Marine Technology and Transport: Proceedings of the 16th International Congress of the International Maritime Association of the Mediterranean (IMAM 2015), Pula, Croatia, 21-24 September 2015. ed. / C. Guedes Soares; R. Dejhalla; D. Pavletić. Leiden, The Netherlands, 2015. p. 619-626.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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N2 - 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.

AB - 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.

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KW - risk assessment

KW - safety engineering

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A2 - Dejhalla, R.

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Dikis K, Lazakis I, Theotokatos G. Dynamic reliability analysis tool for ship machinery maintenance. In Soares CG, Dejhalla R, Pavletić D, editors, Towards Green Marine Technology and Transport: Proceedings of the 16th International Congress of the International Maritime Association of the Mediterranean (IMAM 2015), Pula, Croatia, 21-24 September 2015. Leiden, The Netherlands. 2015. p. 619-626 https://doi.org/10.1201/b18855-81