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Stand-Alone Extraction of Cyclostationary Broadband Components from Aeroacoustic Signals
AIAA Journal ( IF 2.1 ) Pub Date : 2021-09-21 , DOI: 10.2514/1.j060289
Jérôme Antoni , Quentin Leclère , Alice Dinsenmeyer , Emmanuel Julliard 1 , Simon Bouley , Christophe Picard , Pieter Sijtsma 2
Affiliation  

Aeroacoustic signals, as typically returned by recordings of pressure fluctuations generated by rotating machines, often exhibit a strong contribution of broadband components. Separate analysis of the various sources of broadband noise is important from an engineering point of view, as they relate to different physical mechanisms. It is yet technically difficult to achieve, as the corresponding signals overlap in both time and frequency. A solution is proposed based on the angle–time cyclostationary property of broadband noise produced by rotating sources. Cyclostationary broadband components can thus be extracted, resynthesized in the time domain, and analyzed individually as if they were measured alone with all other interfering sources switched off. A special effort is made to render the methodology as stand-alone as possible by providing criteria for automatically setting up the leading parameters. The methodology is illustrated in counter-rotating open rotor data, where cyclostationary broadband contributions from the rear and front rotors and their interaction are individually extracted.



中文翻译:

从气动声学信号中独立提取循环平稳宽带分量

通常由旋转机器产生的压力波动记录返回的气动声学信号通常表现出宽带分量的强大贡献。从工程角度来看,对各种宽带噪声源进行单独分析很重要,因为它们与不同的物理机制有关。由于相应的信号在时间和频率上都有重叠,因此在技术上很难实现。基于旋转源产生的宽带噪声的角度-时间循环平稳特性,提出了一种解决方案。因此,可以提取、在时域中重新合成和单独分析循环平稳宽带分量,就像在关闭所有其他干扰源的情况下单独测量它们一样。通过提供自动设置主要参数的标准,特别努力使该方法尽可能独立。该方法在反向旋转开式转子数据中进行了说明,其中分别提取了来自后转子和前转子的循环平稳宽带贡献及其相互作用。

更新日期:2021-09-22
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