叶尖定时测量叶片非同步振动的多通道频谱分析

L. Carassale, F. Coletti, R. Guida, Michela Marrè-Brunenghi, Elena Rizzetto
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引用次数: 0

摘要

本文提出了一种用非均匀分布传感器对转子恒定转速下的非同步振动数据进行处理的方法。采样数据被解释为矢量空间的成员,其特征由信号本身和采样模式决定。如果信号只包含一个谐波分量,则可以通过一种称为谐波匹配的方法来估计其频率。相反,当存在多个谐波分量时,由于多模态响应,需要进行分量分离处理。为此,提出了一种基于独立分量分析(ICA)的技术。这种方法被限制在恒定的速度范围内,但它的好处是使用了统计估计器,从而具有很强的抗噪声能力。通过理论算例对该方法进行了说明,并应用该方法对叶片盘的类颤振非同步振动进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Channel Spectral Analysis of Non-Synchronous Vibrations of Bladed Disks Measured by Blade Tip Timing
The paper proposes a method for the processing of BTT data deriving from non-synchronous vibrations measured at constant rotor speed by a set of non-uniformly distributed sensors. The sampled data are interpreted as members of a vector space whose characteristics are determined by the signal itself and by sampling pattern. If the signal contains a single harmonic component, its frequency can be estimated through a method that has been named harmonic matching. On the contrary, when more than one harmonic component is present, due to a multi-modal response, a component separation processing is necessary. To this purpose, it is proposed a technique based on the Independent Component Analysis (ICA). This approach is limited to constant speed regime, but has the benefit of using statistical estimators that enable a strong resistance to noise. The method is illustrated using academic examples and is employed to study a flutter-like non-synchronous vibration of a bladed disk.
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