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A method for multi-harmonic vibration analysis of turbomachinery blades using Blade Tip-Timing and clearance sensor waveforms and optimization techniques

机译：叶片尖端时序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及优化技术

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摘要

A novel concept of investigating blade vibration in turbomachinery is presented on the basis of Blade Tip-Timing (BTT) and clearance sensor waveform analysis 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 capac-itive 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.
机译：基于叶片尖端（BTT）和间隙传感器波形分析方法（Blasma），提出了一种研究涡轮机械型叶片振动的新颖概念，通过全局优化确定振动参数。结果表明，通过刀片振动的传感器输出的调制可以提供与来自传统BTT应用的欠采样的到达时间（TOA）数据相比提供额外的信息。传感器数据不仅可以提高刀片振动上的陈述的有效性，而且还减少了对基于触点的应变计测量的依赖性以产生参考数据。进行了一项研究，以评估传感器波形分析的优点，用于确定异步和同步单次谐波和多谐波叶片振动参数。首先，在研究压缩机上进行的实验期间，通过电容式传感器记录波形。实验测量的波形之后在模拟器中复制，用于沿着单个虚拟电容传感器模拟旋转和振动叶片的传递事件。最后，在全局优化方法的帮助下，从这些波形中提取振动性质，例如幅度，频率和阶段。附加了对方法的误解的调查。

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