发表机构
Federal University of Rio Grande do Norte（北里奥格兰德联邦大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究评估不同交通条件下车内噪声水平与脉冲性，发现良好交通时噪声更高，慢速时脉冲性更强，车辆自身及运动为主要噪声源。
AI 中文摘要
近年来，由于健康问题以及提升车辆对消费者的吸引力，车内声音质量问题引起了研究人员和工业界的共同关注。本研究通过比较实测功率水平和两种声学噪声模型（即高斯分布和α稳定分布），扩展了在多种条件下车内声学噪声的分析。利用由树莓派板和策略性放置的麦克风组成的测量装置，在真实交通模式场景中采集了噪声样本。对采集数据的分析表明，当交通状况良好时，观测到的噪声水平更高。此外，车内噪声表现出显著的脉冲性，且当交通较慢时这种脉冲性往往更为严重。最后，我们的结果表明，与车辆本身及其运动相关的噪声源是构成车内声学噪声的最主要因素。
英文摘要
Recently, the issue of sound quality inside vehicles has attracted interest from both researchers and industry alike due to health concerns and also to increase the appeal of vehicles to consumers. This work extends the analysis of interior acoustic noise inside a vehicle under several conditions by comparing measured power levels and two different models for acoustic noise, namely the Gaussian and the alpha-stable distributions. Noise samples were collected in a scenario with real traffic patterns using a measurement setup composed of a Raspberry Pi Board and a microphone strategically positioned. The analysis of the acquired data shows that the observed noise levels are higher when traffic conditions are good. Additionally, the interior noise presented considerable impulsiveness, which tends to be more severe when traffic is slower. Finally, our results suggest that noise sources related to the vehicle itself and its movement are the most relevant ones in the composition of the interior acoustic noise.
Journal refSensors 2022, 22(5), 1946
