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System engineering risk analysis of diesel engine durability in Latin America

机译:拉丁美洲柴油机耐久性的系统工程风险分析

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Between 2010 and 2015, engines in 20-ton excavators in Latin American countries failed with low hours of usage. System maintenance data such as engine oil samples are critical to address engine durability issues seen in equipment operating in the Latin America region. Risk analysis addressing premature engine wear in the Latin America region has not been described in peer-reviewed literature. Thus, the primary objective of this paper is to apply a system engineering standard risk model evaluation to identify, quantify, and prioritize cost risks associated with diesel engine durability in Latin America. This research is based on several data sources, including a database of 7561 engine oil analysis results for the period of 2010 through 2015. These results were obtained from oil analysis laboratories located in the following Latin American countries: Bolivia, Colombia, Costa Rica, Dominican Republic, Ecuador, Guatemala, Honduras, Mexico, Paraguay, Peru, and Uruguay. This research applied the standard risk model and cataloged the root-causes of risks under two groups: fuel and environment. The paper identified a cause and effect correlation between risk drivers and abnormal oil sample analysis results. After calculating, prioritizing, and mapping each risk, the research concludes that diesel sulfur content and diesel quality are the primary risks that should be addressed in machinery operating in Latin America. Risk and cost threshold formulas are presented in this research and support the conclusions.
机译:在2010年至2015年之间,拉丁美洲国家/地区的20吨挖掘机的发动机因使用小时数低而出现故障。系统维护数据(例如机油样本)对于解决拉丁美洲地区运行的设备中出现的发动机耐久性问题至关重要。经同行评审的文献中尚未描述解决拉丁美洲地区发动机过早磨损的风险分析。因此,本文的主要目的是应用系统工程标准风险模型评估来识别,量化和确定与拉丁美洲柴油机耐久性相关的成本风险。这项研究基于多个数据源,其中包括2010年至2015年期间7561种发动机机油分析结果的数据库。这些结果来自位于以下拉丁美洲国家的机油分析实验室:玻利维亚,哥伦比亚,哥斯达黎加,多米尼加共和国,厄瓜多尔,危地马拉,洪都拉斯,墨西哥,巴拉圭,秘鲁和乌拉圭。这项研究应用了标准风险模型,并将风险的根本原因归为两类:燃料和环境。本文确定了风险驱动因素与异常油样分析结果之间的因果关系。在对每种风险进行计算,确定优先级并绘制出图表之后,研究得出结论,柴油中的硫含量和柴油质量是拉丁美洲运营的机械应解决的主要风险。风险和成本阈值公式在本研究中提出并支持结论。

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