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Using prognostic system and decision analysis techniques in aircraft maintenance cost-benefit models

机译:在飞机维修成本效益模型中使用预测系统和决策分析技术

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Aircraft operators, manufacturers and maintenance teams have shown growing interest in prognostic systems to maximize equipment useful life and minimize operational and maintenance costs during aircraft useful life. Cost-benefit models are the key to demonstrate the value of prognostics and health monitoring (PHM) technology. In cost-benefit simulation, the decision making process of choosing one maintenance opportunity or another shall consider the risks and costs associated with each possible choice. If probability density functions (PDF) associated with a prognostic system forecast are available, they must also be taken into account. Although many cost-benefit models have been proposed, cost information has not been used in the maintenance opportunity choice. The purpose of this work is to explore potential benefits of decision analysis techniques in choosing the best maintenance opportunity when PHM information is available. A simple example is presented when the maintenance opportunity must be chosen based on a cost avoidance criterion.
机译:飞机运营商,制造商和维护团队对预测系统的兴趣日益浓厚,它们可以最大限度地延长设备的使用寿命,并在飞机的使用寿命期间最大程度地降低运营和维护成本。成本效益模型是证明预测和健康监测(PHM)技术价值的关键。在成本效益模拟中,选择一个或多个维护机会的决策过程应考虑与每个可能选择相关的风险和成本。如果与预后系统预测相关的概率密度函数(PDF)可用,则还必须考虑它们。尽管已经提出了许多成本效益模型,但是在维护机会选择中并未使用成本信息。这项工作的目的是探索在PHM信息可用时选择最佳维护机会时决策分析技术的潜在优势。当必须基于成本避免标准选择维护机会时,将给出一个简单的示例。

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