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首页> 外文期刊>International Journal of Industrial Ergonomics >Determination of individual sound power levels of noise sources using a harmony search algorithm
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Determination of individual sound power levels of noise sources using a harmony search algorithm

机译:使用和声搜索算法确定噪声源的各个声功率级

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摘要

Noise exposure is not only related to the non-auditory effects that endanger worker safety, but is also related to hearing loss. Permanent hearing loss and its associated problems are clearly a critical and widespread consequence of excessive noise exposure. Thus, it is necessary for industrial engineers to evaluate quantitatively the dominant noise source while multiple machines are running. This paper presents an efficient method to determine sound power levels (PWLs) of the near noise sources generated by the simultaneous operation of multiple machines. PWLs, generally based on the point source and spherical radiation in a free field, are obtained from required data such as the measured sound pressure levels (SPLs), the locations in which the SPLs are measured, and the locations of the machines, using a harmony search (HS) algorithm. Relevance to industry: The procedure for determining the PWL of an individual machine is a useful tool for industrial engineers to identify the dominant noise source in the workplace. With the proposed optimization technique, the manufacturing industry can evaluate the workplace noise levels emitted by multiple machines and determine whether industrial workers are exposed to a noise hazard due to the dominant noise source.
机译:噪声暴露不仅与危害工人安全的非听觉影响有关,而且与听力损失有关。永久性听力损失及其相关问题显然是过度噪声暴露的关键而广泛的后果。因此,工业工程师有必要在多台机器运行时定量评估主要噪声源。本文提出了一种确定由多台机器同时运行而产生的近噪声源的声功率级(PWL)的有效方法。 PWL通常基于自由场中的点源和球面辐射,它们是从所需数据中获得的,例如测得的声压级(SPL),测量SPL的位置以及机器的位置,使用和谐搜索(HS)算法。与行业的相关性:确定单个机器的PWL的过程是工业工程师确定工作场所主要噪声源的有用工具。利用提出的优化技术,制造业可以评估多台机器排放的工作场所噪声水平,并确定工业工人是否由于主要噪声源而面临噪声危害。

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