{"title":"Sound power estimation method based on dual arrays sound intensity scaling and sound pressure superposition","authors":"B. Jiang, Xiao-qin Liu, Xing Wu","doi":"10.3397/1/37713","DOIUrl":null,"url":null,"abstract":"The sound intensity scaling method can be used to calculate the source sound power from the array beamforming results. The distance between the sound source and the array and the environmental noise during the test process will affect the accuracy of the sound source intensity measurement.\n A sound power level solution method for sound intensity scaling suitable for complex environments is verified in this paper. The depth of the sound source is determined by dual arrays. The sound wave propagation and superposition characteristics are used to establish an optimized objective\n function, to optimize the strength of the target sound source and remove the noise components. Finally, the sound power level of the sound sources after noise reductions are calculated by the sound intensity scaling method. In the semi-anechoic room, white noise signal and impact signal are\n used as interference noise in the experiments. The results show that this method can effectively reduce the noise of the signal in the noisy environment and improve the calculation accuracy of the sound power level of the sound source. The error of the sound power level calculation results\n under the influence of white noise and impact noise has been greatly reduced after optimization. The calculation error of sound power level decreased from 3.2 dB–12.2 dB to 0.2 dB–5dB.","PeriodicalId":49748,"journal":{"name":"Noise Control Engineering Journal","volume":" ","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Noise Control Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3397/1/37713","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 1
Abstract
The sound intensity scaling method can be used to calculate the source sound power from the array beamforming results. The distance between the sound source and the array and the environmental noise during the test process will affect the accuracy of the sound source intensity measurement.
A sound power level solution method for sound intensity scaling suitable for complex environments is verified in this paper. The depth of the sound source is determined by dual arrays. The sound wave propagation and superposition characteristics are used to establish an optimized objective
function, to optimize the strength of the target sound source and remove the noise components. Finally, the sound power level of the sound sources after noise reductions are calculated by the sound intensity scaling method. In the semi-anechoic room, white noise signal and impact signal are
used as interference noise in the experiments. The results show that this method can effectively reduce the noise of the signal in the noisy environment and improve the calculation accuracy of the sound power level of the sound source. The error of the sound power level calculation results
under the influence of white noise and impact noise has been greatly reduced after optimization. The calculation error of sound power level decreased from 3.2 dB–12.2 dB to 0.2 dB–5dB.
声强标度法可以从阵列波束形成结果中计算出源声功率。声源与阵列之间的距离以及测试过程中的环境噪声都会影响声源强度测量的精度。验证了一种适用于复杂环境的声强标度的声功率级求解方法。声源的深度由双阵列确定。利用声波的传播和叠加特性建立优化的目标函数,优化目标声源的强度,去除噪声成分。最后,采用声强标度法计算降噪后声源的声功率级。在半消声室内,实验采用白噪声信号和冲击信号作为干扰噪声。结果表明,该方法能有效降低噪声环境下信号的噪声,提高声源声功率级的计算精度。优化后的声功率级计算结果在白噪声和冲击噪声影响下的误差大大降低。声功率级的计算误差由3.2 dB ~ 12.2 dB减小到0.2 dB ~ 5db。
期刊介绍:
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