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Signal-based indicators for predicting the effect of audible tones in the aircraft sound at takeoff

机译:基于信号的指标,用于预测起飞飞机声音中可听音调的效果

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Audible tones in the sound of aircraft at takeoff, perceived at ground level, generally take the form of two components. The first one is a whistling sound at a frequency that corresponds to the fan rotation multiplied by the number of blades (blade passing frequency). The second one is a series of harmonic partials with a low fundamental frequency (buzz-saw noise). In the scope of the PARASOFT project, a former study showed that these two sound components, when heard at the same loudness, can have an effect on unpleasantness. Here, the results of this study were compared with different tonality indicators (EPNL tone correction factor, ISO1996-2 annex C, DIN45681, Aures' model), and an indicator of roughness. This comparison revealed that all four tonality indicators are well suited for quantifying the detrimental impact of isolated tones. However only Aures' model for tonality, because it is not limited to the highest emergence, and roughness are able to account for the effect of buzz-saw noise. Aures' model for tonality should thus be considered when trying to predict the negative impact of any kind of audible tones in aircraft sound at takeoff.
机译:在接地水平的起飞时,飞机声音的声音音调通常采用两个组件的形式。第一个是频率的吹哨声,对应于风扇旋转乘以叶片的数量(刀片通过频率)。第二个是一系列具有低基频(嗡嗡声噪声)的谐波部分。在Parasoft项目的范围内,前一项研究表明,这两个声音组件在同一响度时听到,可以对令人不快产生影响。这里,将该研究的结果与不同的色调指示剂进行比较(EPNL音调校正因子,ISO1996-2附件C,DIN45681,AUNE'模型)以及粗糙度的指标。这种比较透露,所有四个音调指标都非常适合量化孤立色调的不利影响。然而,只有姿势的音调模型,因为它不限于最高的出现,并且粗糙度能够考虑嗡嗡声噪声的影响。因此,在试图预测起飞时飞机声音中任何可听音调的负面影响时,应考虑调节的型号的态度。

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