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Relationships between noise sampling design and uncertainties in occupational noise exposure measurement

机译:噪声采样设计与职业噪声暴露测量不确定度之间的关系

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This paper presents the results of a study concerning the uncertainty related to the sampling of noise exposure. This study was carried out in two groups of workers, selected to include very different exposure situations in terms of the location of the workplace, the nature of the tasks carried out, and the variability of noise exposure from day to day. For each group, the noise exposure was measured continuously for approximately 80 hours in order to establish a reference suitable for estimating a daily noise exposure level from sampling. Various sampling designs were defined and applied to these data, characterized by the number of measurements, measurement duration, and the distribution of the samples among the data available for each group. The accuracy of each sampling design was estimated by Monte-Carlo simulations, i.e., reiterating the taking of a random sample 1000 times, to produce the distribution of all possible mean noise exposure levels and to deduce their 95% confidence interval, which was then used to estimate the uncertainty related to the noise sampling. This study has yielded information about the number of samples required to obtain a given accuracy that can be used as background material to revise the ISO 9612 standard. (C) 2007 Institute of Noise Control Engineering.
机译:本文介绍了有关与噪声暴露采样有关的不确定性的研究结果。这项研究是在两组工人中进行的,根据工作场所的位置,所执行任务的性质以及每天噪声暴露的变异性,选择包括非常不同的暴露情况。对于每组,连续测量噪音暴露约80小时,以建立适合于从采样中估算每日噪音暴露水平的参考。定义了各种采样设计并将其应用于这些数据,其特征在于测量次数,测量持续时间以及每个组可用数据之间的样本分布。每种采样设计的准确性均通过蒙特卡洛模拟进行估算,即,重复抽取1000次随机样本,以得出所有可能的平均噪声暴露水平的分布并得出其95%的置信区间,然后将其使用估计与噪声采样有关的不确定性。这项研究得出了有关获得给定精度所需的样本数量的信息,这些信息可用作修订ISO 9612标准的背景材料。 (C)2007噪声控制工程研究所。

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