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Weibull Distributions Applied to Cost and Risk Analysis for Aero Engines

机译:威布尔分布应用于航空发动机成本和风险分析

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This paper presents the use of Weibull formulation to the life analysis of different parts of the engine in order to estimate the cost of maintenance, the direct operating costs (DOC) and net present cost (NPC) of future type turbofan engines.The Weibull distribution is often used in the field of life data analysis due to its flexibility-it can mimic the behavior of other statistical distributions such as the normal and the exponential.The developed economic model is composed of three modules: a lifing module, an economic module and a risk module. The lifing module estimates the life of the high pressure turbine blades through the analysis of creep and fatigue over a full working cycle of the engine. The value of life calculated by the lifing is then taken as the baseline distribution to calculate the life of other important modules of the engine using the Weibull approach. Then the lower of the values of life of all the distributions is taken as time between overhaul (TBO), and used into the economic module calculations. The economic module uses the TBO together with the cost of labour and the cost of the engine (needed to determine the cost of spare parts) to estimate the cost of maintenance and DOC of the engine.In the present work five Weibull distributions are used for five important sources of interruption of the working life of the engine: Combustor, Life Limited Parts (LLP), High Pressure Compressor (HPC), General breakdowns and High Pressure Turbine (HPT).The risk analysis done in this work shows the impact of the breakdown of different parts of the engine on the NPC and DOC, theimportance that each module of the engine has in its life, and how the application of the Weibull theory can help us in the risk assessment of future aero engines.A detailed explanation of the economic model is done in two other works (Pascovici et. al. [6] and Pascovici et. al. [7]), so in this paper only a general overview is done.
机译:本文介绍了Weibull公式在发动机不同部分的寿命分析中的用途,以估计未来型涡扇发动机的维护成本,直接运行成本(DOC)和净现值(NPC)。 威布尔分布因其灵活性而经常用于生命数据分析领域,它可以模仿其他统计分布的行为,例如正态分布和指数分布。 发达的经济模型由三个模块组成:生活模块,经济模块和风险模块。提升模块通过分析发动机整个工作周期内的蠕变和疲劳来估算高压涡轮叶片的寿命。然后,通过起伏计算得出的寿命值被用作基线分布,以使用威布尔方法来计算发动机其他重要模块的寿命。然后,将所有分布寿命的较低值作为大修之间的时间(TBO),并将其用于经济模块计算中。经济模块将TBO与人工成本和发动机成本(需要确定备件成本)一起使用,以估算发动机的维护成本和DOC。 在当前工作中,五个威布尔分布用于中断发动机工作寿命的五个重要来源:燃烧器,寿命有限零件(LLP),高压压缩机(HPC),一般故障和高压涡轮(HPT)。 在这项工作中进行的风险分析显示了发动机不同部分的故障对NPC和DOC的影响。 发动机每个模块在其生命中具有的重要性,以及威布尔理论的应用如何帮助我们对未来的航空发动机进行风险评估。 对经济模型的详细解释在另外两篇著作中进行了描述(Pascovici等人[6]和Pascovici等人[7]),因此在本文中仅作了概述。

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