车内噪声综合烦躁度模糊综合评价

以车内噪声为研究对象,研究了声品质的主观模糊综合评价方法。根据汽车车内噪声测量标准设计噪声采集方案,对平稳和非平稳车内噪声进行了数据采集、信号预处理,建立噪声样本数据库。采用参考语义细分法对四款汽车车内噪声的综合烦躁度进行主观评价试验研究,基于主观评价试验结果和模糊综合算法,建立了综合烦躁度模糊综合评价模型,可以计算出整车噪声综合烦躁度总值。结果表明不同车型有其自身的声品质特征。所提出的方法可用于实施不同车辆的声品质比较和评判。

Fuzzy comprehensive evaluation for comprehensive annoyance of vehicle interior noise

Aiming at the vehicle interior noise, a fuzzy comprehensive method for subjective sound quality evaluation is investigated. According to the measurement standards of vehicle interior noise, a noise acquisition scheme is designed for measuring both the stationary and nonstationary interior noises of sample vehicles. The measured and pre-processed noise signals are saved in a vehicle noise database. The anchored semantic differential method is used to subjectively evaluate the interior noise annoyances of four types of vehicles. Furthermore, based on the evaluated results and the fuzzy comprehensive algorithm, a fuzzy comprehensive annoyance evaluation model is established, which can directly provide a total value of annoyance of a whole vehicle. The results show that different types of vehicles are working in different sound quality characteristics. The proposed method is a reference for synthetical judgment and comparison of vehicle sound qualities.