Developing an advanced reliability analysis framework for marine systems operations and maintenance
Daya, Abdullahi Abdulkarim and Lazakis, Iraklis (2023) Developing an advanced reliability analysis framework for marine systems operations and maintenance. Ocean Engineering, 272. 113766. ISSN 0029-8018 (https://doi.org/10.1016/j.oceaneng.2023.113766)
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Abstract
Power generation system reliability is of great concern for all ship operators irrespective of sector, as it provides the highest utility and ensures collective safety of operators, passengers, equipment and cargo. A novel approach to system reliability analysis using DFTA, FMECA and BBN applied to 4 DGs has been conducted. The outcomes provide insight on faults and component criticality to vessel maintenance and availability. Building from the understanding of how multiple factors can influenced maintenance in addition to routine or age-related wear and tear of machinery. This research looked into operators’ peculiar challenges regarding environment, operational demands and technology challenges that affects maintenance and system reliability. A framework based on outputs from DFTA minimal cut set, RPN from FMECA were used as inputs for BBN to analyse ship marine DG system availability. A BBN influence diagram was used to build a maintenance strategy DSS. Overall outcome for the maintenance strategy selection DSS indicates relatively high unavailability. Therefore, DGs with low availability were recommended to be on Corrective action and ConMon, while DGs with good availability were recommended to be on PMS.
ORCID iDs
Daya, Abdullahi Abdulkarim and Lazakis, Iraklis ORCID: https://orcid.org/0000-0002-6130-9410;-
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Item type: Article ID code: 83782 Dates: DateEvent15 March 2023Published16 February 2023Published Online20 January 2023Accepted18 November 2022SubmittedSubjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 20 Jan 2023 12:54 Last modified: 21 Nov 2024 01:23 URI: https://strathprints.strath.ac.uk/id/eprint/83782