Dynamic reliability analysis tool for ship machinery maintenance

K. Dikis; I. Lazakis; G. Theotokatos

doi:10.1201/b18855-81

Dynamic reliability analysis tool for ship machinery maintenance

Naval Architecture, Ocean And Marine Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

10 Citations (Scopus)

36 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 language	English
Title of host publication	Towards Green Marine Technology and Transport
Subtitle of host publication	Proceedings of the 16th International Congress of the International Maritime Association of the Mediterranean (IMAM 2015), Pula, Croatia, 21-24 September 2015
Editors	C. Guedes Soares, R. Dejhalla, D. Pavletić
Place of Publication	Leiden, The Netherlands
Pages	619-626
Number of pages	8
DOIs	https://doi.org/10.1201/b18855-81
Publication status	Published - 4 Sept 2015
Event	16th International Congress of the International Maritime Association of the Mediterranean, IMAM 2015 - Hotel Park Plaza Histria, Pula, Pula, Croatia Duration: 21 Sept 2015 → 24 Sept 2015 http://www.imamhomepage.org/imam2015/

Conference

Conference	16th International Congress of the International Maritime Association of the Mediterranean, IMAM 2015
Abbreviated title	IMAM 2015
Country/Territory	Croatia
City	Pula
Period	21/09/15 → 24/09/15
Internet address	http://www.imamhomepage.org/imam2015/

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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10.1201/b18855-81

Dikis-etal-2015-Dynamic-reliability-analysis-tool-for-ship-machineryAccepted author manuscript, 616 KB

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). 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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title = "Dynamic reliability analysis tool for ship machinery maintenance",

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{\textquoteright}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.",

keywords = "Bayesian networks, computer programming, failure analysis, Java programming language, machinery, marine engineering, Markov processes, risk analysis, risk assessment, safety engineering, shipbuilding, ships",

author = "K. Dikis and I. Lazakis and G. Theotokatos",

year = "2015",

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doi = "10.1201/b18855-81",

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editor = "Soares, \{C. Guedes\} and R. Dejhalla and D. Pavleti{\'c}",

booktitle = "Towards Green Marine Technology and Transport",

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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 proceeding › Conference contribution book

TY - GEN

T1 - Dynamic reliability analysis tool for ship machinery maintenance

AU - Dikis, K.

AU - Lazakis, I.

AU - Theotokatos, G.

PY - 2015/9/4

Y1 - 2015/9/4

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.

KW - Bayesian networks

KW - computer programming

KW - failure analysis

KW - Java programming language

KW - machinery

KW - marine engineering

KW - Markov processes

KW - risk analysis

KW - risk assessment

KW - safety engineering

KW - shipbuilding

KW - ships

UR - https://www.scopus.com/pages/publications/84959568096

UR - https://www.crcpress.com/Towards-Green-Marine-Technology-and-Transport/Guedes-Soares-Dejhalla-Pavletic/9781138028876

U2 - 10.1201/b18855-81

DO - 10.1201/b18855-81

M3 - Conference contribution book

AN - SCOPUS:84959568096

SN - 9781138028876

SP - 619

EP - 626

BT - Towards Green Marine Technology and Transport

A2 - Soares, C. Guedes

A2 - Dejhalla, R.

A2 - Pavletić, D.

CY - Leiden, The Netherlands

T2 - 16th International Congress of the International Maritime Association of the Mediterranean, IMAM 2015

Y2 - 21 September 2015 through 24 September 2015

ER -

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 doi: 10.1201/b18855-81

Dynamic reliability analysis tool for ship machinery maintenance

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