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Criticality Assessment for Marine Diesel Engine Using Failure Mode and Effect Criticality Analysis (FMECA) Approach: Case Study on Lubricating Oil System

机译:使用故障模式和效果临界性分析(FMECA)方法的海洋柴油发动机的批判性评估方法:润滑油系统案例研究

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摘要

A marine diesel engine is widely used as prime movers on ships. In order to ensure that the diesel engine works properly, one of the considerations is the condition of the equipment on a supporting system. The equipment should have high reliability, availability, and good performance conditions. The purpose of this research is to assess the criticality of equipment on main engine supporting system, case study on lubricating oil systems. Criticality assessment is used to determine priorities and maintenance actions in maintaining condition of the assets. Maintenance is important to ensure that the condition of the lubrication system is working properly. The proposed method for analyzing is based on the Failure Mode and Effect Criticality Analysis (FMECA) approach using the criticality matrix on American Bureau of Shipping (ABS)Classification. The risk analysis approach has used risk matrix as the basis for plotting criticality from the results of the probability and consequences analysis. The level of criticality is categorized into low, medium, and high risk. Furthermore, the results of FMECA analysis have found out 99 failure mode that caused the equipment of lubricating oil system to fail. The failure modes are categorized into three levels of criticality, low risk 24%, medium risk 64%, and high risk 12%. Based on the highest critical failure mode from a total of 23 equipments, 6 equipments are categorized as low risk, 13 equipments are categorized as medium risk, and 4 equipments are categorized as high risk.
机译:海洋柴油发动机被广泛用作船上的主要搬运工。为了确保柴油发动机正常工作,其中一个考虑因素是支撑系统上设备的状况。设备应具有高可靠性,可用性和良好的性能条件。这项研究的目的是评估设备对主发动机支撑系统的关键性,润滑油系统的案例研究。批判性评估用于确定维持资产条件的优先级和维护措施。维护对于确保润滑系统的状况正常工作很重要。提出的分析方法基于使用美国运输局(ABS)分类局的关键矩阵的失败模式和效应临界性分析(FMECA)方法。风险分析方法已使用风险矩阵作为从概率和后果分析结果中绘制批判性的基础。批判性水平分为低,中和高风险。此外,FMECA分析的结果发现了99个故障模式,导致润滑油系统的设备失败。故障模式分为三个级别的临界水平,低风险24%,中等风险64%和高风险为12%。基于总共23个设备的最高关键故障模式,将6个设备归类为低风险,13个设备被归类为中型风险,而4个设备被归类为高风险。

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