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GAS PATH ANALYSIS ON KLM IN-FLIGHT ENGINE DATA

机译:荷航机上数据的气路分析

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Gas-path-analysis (GPA) based diagnostic techniques enable health estimation of individual gas turbine components without the need for engine disassembly. Currently, the Gas turbine Simulation Program (GSP) gas path analysis tool is used at KLM Engine Services to assess component conditions of the CF6-50, CF6-80 and CFM56-7B engine families during post-overhaul performance acceptance tests. The engine condition can be much more closely followed if on-wing (i.e., in-flight) performance data are analyzed also. By reducing unnecessary maintenance due to incorrect diagnosis, maintenance costs can be reduced, safety improved and engine availability increased. Gas path analysis of on-wing performance data is different in comparison to gas path analysis with test cell data. Generally fewer performance parameters are recorded on-wing and the available data are more affected by measurement uncertainty including sensor noise, sensor bias and varying operating conditions. Consequently, this reduces the potential and validity of the diagnostic results. In collaboration with KLM Engine Services, the feasibility of gas path analysis with on-wing performance data is assessed. In this paper the results of the feasibility study are presented, together with some applications and case studies of preliminary GPA results with on-wing data.
机译:基于气体路径分析(GPA)的诊断技术可以估计单个燃气轮机组件的运行状况,而无需拆卸发动机。当前,荷航发动机服务公司使用燃气轮机仿真程序(GSP)气路分析工具在大修后性能验收测试期间评估CF6-50,CF6-80和CFM56-7B发动机系列的组件条件。如果还分析机翼(即飞行中)的性能数据,则可以更紧密地跟踪发动机状况。通过减少由于错误诊断而引起的不必要的维护,可以降低维护成本,提高安全性并提高发动机可用性。机翼性能数据的气路分析与带有测试单元数据的气路分析相比有所不同。通常,在机翼上记录的性能参数较少,可用的数据更多地受到测量不确定性(包括传感器噪声,传感器偏置和变化的工作条件)的影响。因此,这降低了诊断结果的可能性和有效性。与荷航发动机服务公司合作,评估了使用机翼性能数据进行气路分析的可行性。本文介绍了可行性研究的结果,以及带有机翼数据的初步GPA结果的一些应用和案例研究。

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