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Online condition monitoring of axial-flow turbomachinery blades using rotor-axial Eulerian laser Doppler vibrometry

机译:使用转子-轴向欧拉激光多普勒振动法在线监测轴流式涡轮机叶片的状态

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摘要

The ability to monitor the vibration of blades online is of great importance to the structural health of turbomachinery. This paper focuses on the fixed reference frame or Eulerian implementation of laser Doppler vibrometry to perform this function. The way in which this measurement technique works is studied analytically and then a numerical simulation approach is proposed. Through experimental testing and finite element modeling, it is shown that this measurement approach is in principle viable for online blade condition monitoring when phase angles at reference frequencies are monitored, using non-harmonic Fourier analysis.
机译:在线监测叶片振动的能力对于涡轮机械的结构健康至关重要。本文将重点介绍固定参考系或激光多普勒振动测量的欧拉方法以执行此功能。分析研究了这种测量技术的工作方式,然后提出了一种数值模拟方法。通过实验测试和有限元建模,结果表明,当使用非谐波傅立叶分析法监测参考频率下的相角时,这种测量方法原则上可用于在线叶片状态监测。

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