首页> 外文会议>International congress on noise control engineering >UNCERTAINTY ANALYSIS FOR CORONA AUDIBLE NOISE LONG-TERM RATE LEVEL ESTIMATION IN CONTINUOUS MONITORING SYSTEMS IN VICINITY OF OVERHEAD AC POWER LINES
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UNCERTAINTY ANALYSIS FOR CORONA AUDIBLE NOISE LONG-TERM RATE LEVEL ESTIMATION IN CONTINUOUS MONITORING SYSTEMS IN VICINITY OF OVERHEAD AC POWER LINES

机译:架空交流电源线附近连续监测系统中电晕声长期速率水平估计的不确定性分析

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Corona audible noise (AN) characterizes itself some specific features such as large time variation of its level and spectral structure dependent on the weather conditions as well as on the technical state of the line and its surface contamination, both factors being of random nature. The measurement of corona AN level is often difficult because of its low values, sometimes comparable with the background noise. A quality of the long-term noise indexes estimation might be expressed by uncertainty analysis for the whole measurement system including randomness of weather condition and its affect the phenomenon of corona intensity and sound travelling conditions as well. Using uncertainty propagation law an analysis has been made for an influence of the partial uncertainties. In the uncertainty budget some partial uncertainties have been indicated, typical for other kind of noise - such as caused by the measuring system and uncertainty characteristic for the corona AN - such as air humidity, rainfall intensity, masking of tonal components. Special attention has been paid to the partial uncertainty of random variable spectral structure of both the acoustic background noise and corona AN. On the other hand paper includes an assessment of uncertainty in 1/3 octave frequency bands and its influence on uncertainty of A-weighted level. The paper presents a practical approach of uncertainty calculation in determining long-term noise indicators for the AN using data gathered in the continuous monitoring system.
机译:电晕可听噪声(AN)本身具有一些特定特征,例如其水平和频谱结构随天气状况以及线路的技术状态及其表面污染而随时间变化很大,这两个因素都是随机的。电晕AN电平的测量值通常很困难,因为其值较低,有时可与背景噪声相媲美。长期噪声指标估计的质量可以通过整个测量系统的不确定性分析来表示,包括天气条件的随机性及其对电晕强度和声传播条件的影响。使用不确定性传播定律,对部分不确定性的影响进行了分析。在不确定性预算中,已经表明了一些局部不确定性,这是其他种类噪声的典型特征-例如由测量系统引起的和电晕AN的不确定性特征-例如空气湿度,降雨强度,音调成分的掩盖。特别注意了声学背景噪声和电晕AN的随机可变频谱结构的部分不确定性。另一方面,本文包括对1/3倍频程频段中不确定度的评估及其对A加权水平不确定度的影响。本文提出了一种实用的不确定性计算方法,即使用连续监测系统中收集的数据来确定AN的长期噪声指标。

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