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Turbine Rotor Disk Health Monitoring Assessment Based on Sensor Technology and Spin Tests Data

机译:基于传感器技术和旋转测试数据的涡轮转子盘健康监测评估

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The paper focuses on presenting data obtained from spin test experiments of a turbine engine like rotor disk and assessing their correlation to the development of a structural health monitoring and fault detection system. The data were obtained under various operating conditions such as the rotor disk being artificially induced with and without a notch and rotated at a rotational speed of up to 10,000 rpm under balanced and imbalanced state. The data collected included blade tip clearance, blade tip timing measurements, and shaft displacements. Two different sensor technologies were employed in the testing: microwave and capacitive sensors, respectively. The experimental tests were conducted at the NASA Glenn Research Center’s Rotordynamics Laboratory using a high precision spin system. Disk flaw observations and related assessments from the collected data for both sensors are reported and discussed.
机译:本文侧重于呈现从像转子盘这样的涡轮发动机的旋转试验实验提供的数据,并评估它们与结构健康监测和故障检测系统的开发的相关性。在各种操作条件下获得数据,例如转子盘在人工诱导和没有凹口的情况下,并且在平衡和不平衡状态下以高达10,000rpm的转速旋转。收集的数据包括刀片尖端间隙,刀片尖端定时测量和轴位移。测试中使用了两种不同的传感器技术:微波和电容传感器。使用高精度自旋系统,在NASA Glenn Research Center的Rotordynics实验室进行了实验测试。报告并讨论了与两个传感器的收集数据的磁盘缺陷观察和相关评估。

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