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Spectral Discrete Probability Density Function of Measured Wind Turbine Noise in the Far Field

机译:远场中测得的风力涡轮机噪声的频谱离散概率密度函数

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摘要

Of interest is the spectral character of wind turbine noise at typical residential set-back distances. In this paper, a spectral statistical analysis has been applied to immission measurements conducted at three locations. This method provides discrete probability density functions for the Turbine ONLY component of the measured noise. This analysis is completed for one-third octave sound levels, at integer wind speeds, and is compared to existing metrics for measuring acoustic comfort as well as previous discussions on low-frequency noise sources.
机译:令人感兴趣的是典型住宅后退距离处的风力涡轮机噪声的频谱特性。在本文中,光谱统计分析已应用于在三个位置进行的辐射测量。该方法为所测噪声的“仅涡轮”分量提供了离散的概率密度函数。该分析在整数风速下完成了三分之一倍频程声级的分析,并与现有的测量声舒适度的指标以及之前关于低频噪声源的讨论进行了比较。

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