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首页> 外文期刊>Journal of Aerospace Sciences and Technologies >DEVELOPMENT OF DATA PREDICTION MODEL FOR THE LUBRICATION SYSTEM IN A DEVELOPMENTAL GAS TURBINE ENGINE
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DEVELOPMENT OF DATA PREDICTION MODEL FOR THE LUBRICATION SYSTEM IN A DEVELOPMENTAL GAS TURBINE ENGINE

机译:发展燃气轮机发动机润滑系统数据预测模型的发展

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摘要

A developmental aero gas turbine engine, embedded with rotating components needs to be supported with a well-designed lubrication system to address its friction, heating and cleansing requirements. To ensure and sustain the intended lube systems performance, apt and timely maintenance by continual monitoring of its performance parameters are desirable. Instrumenting the lube system and developing models to predict the feasible performance parameters are the approaches which go hand-in-hand to handle the transition from lavish ground trial instrumentation to the scanty flight trial instrumentation. This paper depicts a data prediction model which has been developed, validated and deployed for the temperature measurement in the lubrication system using the cooler temperature of an aero gas turbine engine under development. The data thus predicted as a virtual sensor, not only supplements the thermocouple measurement during the ground trials, but also ensures its confident usage in the absence of thermocouple measurements during flight trials.
机译:嵌入具有旋转部件的发展航空燃气轮机发动机需要用精心设计的润滑系统支持,以解决其摩擦,加热和清洁要求。为了确保和维持预期的润滑油系统性能,可以通过不断监测其性能参数来保持和及时维护。借助润滑油系统和开发模型以预测可行性的性能参数是处理从豪华地面试验仪表到稀疏飞行试验仪器的过渡的方法。本文描绘了已经开发,验证和部署的数据预测模型,用于使用正在开发的航空燃气涡轮发动机的冷却温度进行润滑系统中的温度测量。如此预测为虚拟传感器的数据,不仅在地面试验期间补充热电偶测量,而且还可以确保其在飞行试验期间没有热电偶测量的自信使用。

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