Comparative reliability analysis and enhancement of marine dual-fuel engines. (2nd January 2022)

• Record Type: Journal Article
• Authors: Kirolivanos, Georgios Lazaridis; Jeong, Byongug
• Is Part Of: Journal of international maritime safety, environmental affairs, and shipping. Volume 6:Number 1(2022)
• Page Start: 1
• Page End: 23
• Publication Date: 2022-01-02
• Subjects: Dynamic fault tree analysis (dfta) -- marine industry -- two-stroke dual-fuel engines -- two-stroke diesel engines -- data analysis -- safety -- maintenance -- predictive maintenance -- reliability -- criticality; Shipping -- Periodicals; Shipping -- Safety measures -- Periodicals; Shipping -- Environmental aspects -- Periodicals; Shipping -- Safety measures; Shipping -- Environmental aspects; Shipping; Electronic journal; Periodicals; Electronic journals; 387.5
• DOI: 10.1080/25725084.2021.1968663
• Languages: English
• ISSNs: 2572-5084

Abstract

ABSTRACT: This paper was to examine the reliability and criticality of two dual-fuel marine engine systems and to compare them with a conventional diesel engine system with the utilization of the dynamic fault tree analysis. The results of reliability analysis for the dual-fuel engines indicate that the failure probability of the dual-fuel engine is 8.84% on average at 14, 000 running hours whereas 8.48% for the diesel engines. This finding contrasts our intuition that the dual-fuel engines are of higher risk compared to the conventional diesel engines. Research findings, obtained from the reliability-centered maintenance, suggest an effective way of enhancing the safety of engine systems through predictive maintenance, based on the periodical maintenance of critical components. Therefore, it can contribute to improving the reliability of the whole systems in which mechanical components and fuel oil feed systems were identified as critical elements to diminish the system reliability significantly. It also highlights the importance of the proper maintenance of system components that would greatly enhance the safety levels by restoring systems back to their original operating condition, hence minimizing downtime and operating costs. Research outputs also offer meaningful insights about the association between the planned maintenance strategies and the system reliability.