Abstract A novel concept of investigating blade vibration in turbomachinery is presented on the basis of Bla de Tip-Timing (BTT) and clearance s ensor wavefor m a nalysis methods (BLASMA), with which vibration parameters are determined by global optimization. It is shown that the modulation of the sensor output by blade vibration can offer additional information compared with under-sampled time-of-arrival (TOA) data from traditional BTT applications. The sensor data can not only improve the validity of statements on blade vibration but also lessen the dependence on contact-based strain gauges measurements to produce reference data. A study was conducted to evaluate the merit of sensor waveform analysis with regard to determining asynchronous and synchronous single-harmonic and multi-harmonic blade vibration parameters. At first, waveforms were recorded with capacitive sensors during an experiment conducted on a research compressor. The experimentally measured waveforms were afterwards replicated in a simulator for imitating passing events of rotating and vibrating blades along a single virtual capacitive sensor. Finally, vibration properties, such as amplitudes, frequencies, and phases, are extracted from these waveforms with the help of global optimization methods. An investigation into the error proneness of the methodology is attached.

中文翻译：

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使用叶尖正时和间隙传感器波形和优化技术的涡轮机械叶片多谐波振动分析方法

摘要 基于叶片叶尖定时（BTT）和间隙传感器波形分析法（BLASMA），提出了一种研究涡轮机械叶片振动的新概念，通过全局优化确定振动参数。结果表明，与来自传统 BTT 应用的欠采样到达时间 (TOA) 数据相比，叶片振动对传感器输出的调制可以提供额外的信息。传感器数据不仅可以提高叶片振动声明的有效性，还可以减少对基于接触式应变计测量结果的依赖，以产生参考数据。进行了一项研究，以评估传感器波形分析在确定异步和同步单谐波和多谐波叶片振动参数方面的优点。首先，在研究压缩机上进行的实验期间，使用电容式传感器记录了波形。实验测量的波形随后在模拟器中复制，以模拟旋转和振动叶片沿单个虚拟电容传感器的通过事件。最后，借助全局优化方法从这些波形中提取振动属性，例如振幅、频率和相位。附上对该方法的错误倾向性的调查。和相位，是在全局优化方法的帮助下从这些波形中提取的。附上对该方法的错误倾向性的调查。和相位，是在全局优化方法的帮助下从这些波形中提取的。附上对该方法的错误倾向性的调查。