Estimation Of Unavailability Of Main Power Plants Fuel Supply System Installed Onboard Seabed Exploring Offshore Vessel (original) (raw)

Assessment Of Failure Distributions Of Marine Power Plants Fuel Oil Systems Group

Journal of Polish CIMAC, 2009

For the failure moments and the time between failures of the marine power plants fuel oil systems, an attempt of defining the failure distributions has been made. The analysis was based on the observations of the failure of marine power plants fuel oil systems elements. Due to the character of the statistical data, the analysis deals only with relatively simple distributions, most frequently used in the reliability theory. Failures to the marine power plant systems of 10 ships owned by the Polish Steamship Company of Szczecin was the subject of a statistical data analysis. All the ships differed in respect to their place and time of construction as well as their technical parameters. Data on their failures refer to the fuel oil system. The data on marine power plants failures were collected in similar conditions, that is, they were supplied by an engine crew member working in the marine power plant. The data on the failures of particular marine power plant systems were obtained acco...

Availability Assessment of Diesel Generator System of a Ship: A Case Study Availability Assessment of Diesel Generator System of a Ship: A Case Study

The diesel generator set is one of the most critical systems for a ship's operation. Consequently, the ship preserves four different diesel generators in addition to the power battery packs. This paper describes the generator operation and the main failure conditions. Assuming that the failure rate of the system parts is constant, the paper shows how the diesel generator system can be modelled based on Homogeneous Continuous Time Markov Chains. Actual data are given for the verification of the model, while a specific software is used for the steady-states probabilities extraction. The paper aims to show the advantages of Markov modelling in Maritime Risk Assessment compared to conventional techniques, such as Fault Trees and Event Trees, which are usually applied in risk estimation maritime studies.

Availability Assessment of Diesel Generator System of a Ship: A Case Study

International Journal of Performability Engineering

The diesel generator set is one of the most critical systems for a ship’s operation. Consequently, the ship preserves four different diesel generators in addition to the power battery packs. This paper describes the generator operation and the main failure conditions. Assuming that the failure rate of the system parts is constant, the paper shows how the diesel generator system can be modelled based on Homogeneous Continuous Time Markov Chains. Actual data are given for the verification of the model, while a specific software is used for the steady-states probabilities extraction. The paper aims to show the advantages of Markov modelling in Maritime Risk Assessment compared to conventional techniques, such as Fault Trees and Event Trees, which are usually applied in risk estimation maritime studies.

Failure Analysis of Fuel System Main Engine Fishing Vessel (Case Study : KM. Sumber Mutiara)

Kapal, 2023

Root Cause Failure Analysis; RPN; Failure analysis on the fishing vessel's main engine is one of the works that must be completed because it is crucial for the operation of the ship. Analysis of determining the cause and effect of the failure main engine fuel system is the goal of this study. FMEA (Failure Mode and Effect Analysis) is a method used to determine priority components in failure. The use of Pareto diagrams is an additional method of analysis. RCFA (Root Cause Failure Analysis) is used to analyze the root cause of the failure of the main engine fuel system. The results obtained are the injector component (168) is the component that has the highest RPN (Risk Priority Number) value and is the largest contributor to failure according to the Pareto diagram. The root of the failure has been identified, namely the lack of checking before operating. The Obtained results of the recommendations are the use of corrective maintenance based on the RPN value and the use of a clean filter for the fuel system. The injector is a component that needs to be maintained so as not to experience a fuel system failure on the main engine. The contribution of this study has been to confirm a scientific finding using FMEA and RCFA as a method of analyzing failures in the main engine fuel system on fishing vessels Article history:

Reliability Assessment of a Main Propulsion Engine Fuel Oil System- What are the Failure-prone Components?

TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 2019

The main propulsion engine is the heart of a vessel which carries the entire load of the ship and propels to move ahead. The main engine consists of various subsystems , the fuel oil system is the most important one. Fuel oil system provides fuel to the engine via a fuel injector mounted on the engine cylinder head. During the voyage, the main engine of a ship encounters a variation in loads and stresses due to rough weather to harsh manoeuvring, which sometimes leads to the breakdown of the main engine. Fuel oil systems are identified as one of the main reasons for engine breakdown. Many accidents happened due to the failure of the main engine fuel oil system in the last two decades. To ensure safe and reliable main propulsion engine operation, it is required to assess the reliability of a fuel oil system. However, there is a significant lack of appropriate data to develop the reliability assessment techniques for fuel oil system. This study proposes appropriate data collection and analysis procedure for the reliability assessment of a fuel oil system. Data related to Failure Running Hours (FRH) of a fuel oil system is collected from 101 experienced marine engineers through a questionnaire. The collected data processed using a box plot and analysed for a normality test. It helps to identify the generalization of the data. Moreover, this study identified failure-prone components of a fuel oil system. The collected data will help in developing reliability assessment techniques for accurate reliability analysis of a fuel oil system. The identified failure-prone components will assist in future reliability analysis and risk mitigation strategies for improving the overall safety and reliability of the shipping industry.

FAILURE MODE AND EFFECTS ANALYSIS OF DIESEL ENGINE FOR SHIP NAVIGATION SYSTEM IMPROVEMENT

Indonesia is the world’s largest archipelago, 2/3 of the country is covered by sea. But due to many factors a lot of ship accidents occurred every year, and claiming a large number of casualties. Efforts have been done to improve the safety of domestic sea transportation, as the result to be fully compliance to the SOLAS (Safety Of Live At Sea) regulations regarding to the IMO (International Maritime Organization) convention, worsen by varying sea and cargo characteristic, and low educated passengers, they are very vulnerable to accidents. There are so many accidents in sea transportation in Indonesia, especially in 2005-2010 is due to human errors and only a few caused by natural factors and others. Most of the accidents occur due to the low awareness of the aspects of security and safety. Equipment’s and system on board ship, will not remain safe or reliable if they are not maintained. Failure Mode and Effects Analysis (FMEA) approach is chosen as a risk assessment methodology in this paper to synthesize the potential failure modes and their associated causes for product design, especially in ship diesel engine. In this paper, the study proposes the fuel oil system in the ship diesel engine. Fuel oil system is extremely important system on a ship which is designed to supply clean fuel oil to main engine, diesel generators and emergency diesel generators. FMEA is an effective tool or technique used for identifying possible failures and mitigating their effects. In various life cycle phase of diesel engine, FMEA activities are executed, and detailed FMEA documents are usually used as reference. Design changes can be executed according to the existing FMEA documents, especially for the most dangerous failure modes with high prevention difficulty.

Fault Tree Analysis in the Reliability of Heavy Fuel Oil Supply

Transactions on Maritime Science, 2014

Marine systems are complex and through the analysis of their reliability it is necessary to observe the reliability of their subsystems and components. With regard to the fact that the reliability is functionally dependent on faults, for the purpose of this study special attention has been given to possible faults on the heavy fuel oil supply pump of a two-stroke marine diesel engine MAN B&W 5L90MC. A deductive approach to reliability analysis, i.e. fault tree analysis method (FTA), has been used. By the use of this method it is simpler to identify the system’s weak link and it is shown that the method gives the basis for the ship’s system reliability analysis. Based on FTA analysis this paper suggests system parameters that require continuous monitoring in order to achieve reliability. The results show the behavior of the components in case of faults and this approach can help to create a plan of action in order to enforce timely corrective and preventive action and, accordingly, i...

The Management of Power System Reliability in the Offshore Oil and Gas Field

MIX: JURNAL ILMIAH MANAJEMEN

The reliability of electric power systems is needed in offshore oil and gas field operations because disruptions can have a direct impact on oil production, costs, and company profits.Objectives: to determine the evaluation of reliability performance and propose a model for managing the power system reliability of the PHE OSES offshore oil and gas field.Methodology: A case study with data collected through observation, interviews, and analysis of relevant documents.Finding: Reliability in 2015-2016 has not reached the target but from 2017-2021 has reached the target of 97.5%, as well as availability in 2015, 2018, 2019 & 2020 has not reached the target but in 2016, 2017 & 2021 has reached the target of 95%. This resulted in the highest production losses in 2015 at 266,965 and the lowest in 2021 at 21,388 barrels of oil. The model is proposed by combining elements in risk-based asset management method, RCM method, and redesign.Conclusion: In recent years, reliability has been on targ...