Improvements of a Failure Database for Marine Diesel Engines Using the RCM and Simulations

Francisco Vera-García, José Antonio Pagán Rubio, José Hernández Grau and Daniel Albaladejo Hernández
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Francisco Vera-García: Departamento de Ingeniería Térmica y de Fluidos, Universidad Politécnica de Cartagena, ETSII, 30202 Cartagena, Spain
José Antonio Pagán Rubio: Department of Diagnosis and Product Development, Navantia Factory, 30202 Cartagena, Spain
José Hernández Grau: Departamento de Ingeniería Térmica y de Fluidos, Universidad Politécnica de Cartagena, ETSII, 30202 Cartagena, Spain
Daniel Albaladejo Hernández: Department of Diagnosis and Product Development, Navantia Factory, 30202 Cartagena, Spain

Energies, 2019, vol. 13, issue 1, 1-28

Abstract: Diesel engines are widely used in marine transportation as a direct connection to the propeller and as electrical principal or auxiliary generator sets. The engine is the most critical piece of equipment on a vessel platform; therefore, the engine’s reliability is paramount in order to optimize safety, life cycle costs, and energy of the boat, and hence, vessel availability. In this paper, the improvements of a failure database used for a four-stroke high-speed marine diesel engine are discussed. This type of engine is normally used in military and civil vessels as the main engine of small patrols and yachts and as an auxiliary generator set (GENSET) for larger vessels. This database was assembled by considering “failure modes, effects, and criticality analysis (FMECA),” as well as an analysis of the symptoms obtained in an engine failure simulator. The FMECA was performed following the methodology of reliability-centered maintenance (RCM), while the engine response against failures was obtained from a failure simulator based on a thermodynamic one-dimensional model created by the authors, which was adjusted and validated with experimental data. The novelty of this work is the methodology applied, which combines expert knowledge of the asset, the RCM methodology, and the failure simulation to obtain an accurate and reliable database for the prediction of failures, which serves as a key element of a diesel engine failure diagnosis system.

Keywords: FMECA; RCM; reliability; failure diagnosis; failure detection; diesel engine modelling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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