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汽车非平稳车内噪声时变综合烦躁度客观评价方法

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与汽车非平稳车内噪声时变声品质主观评价序列的平滑性相反,传统客观评价模型输出的预测序列是较为波动的。本文在传统模型建立的基础上,利用Savitzky-Golay滤波器对预测序列进行时域平滑后处理。检验结果表明,相比于预测序列,时序平滑评价序列对车内噪声时变综合烦躁度的评价性能更高,预测精度(误差均方根值降低11。40%)、稳定性(误差方差降低31。50%)与一致性(Pearson相关系数提高9。95%)均得到较大提高。在传统模型基础上对预测序列进行时域平滑后处理,是具有更高精度的时变综合烦躁度客观评价方法。
Objective Evaluation Method for the Time-varying Annoyance of Automotive Interior Non-stationary Noise
Contrary to the smoothness of the time-varying subjective sound quality evaluation (SQE) sequence of the vehicle interior non-stationary noise,the prediction sequence output by the traditional objective evaluation model fluctuates rapidly in the time domain.In this paper,based on the traditional time-varying annoyance (TVA) evaluation model of auto-motive interior non-stationary noise,the Savitzky-Golay filter (SG filter) was used to smooth the prediction sequence in time domain.The results show that compared with the prediction sequence,the smoothed evaluation sequence has a better predic-tion performance.It improves the prediction accuracy by deceasing the root mean square of prediction errors by 11.40%,im-proves the stability by decreasing the variance by 31.50%,and improves the consistency by increasing the Pearson correla-tion coefficient by 9.95%.It is concluded that on the basis of the traditional model,the prediction sequence smoothed in the time domain is an better objective evaluation method for the TVA of automotive interior non-stationary noise with higher pre-diction accuracy.

acousticsnon-stationary interior noise of vehiclestime-varying SQEobjective evaluation methodtime seriesSG filter

冯天培、惠延波、王岩松、马喜岭、张博强、孙朋

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河南工业大学 机电工程学院,郑州 450007

上海工程技术大学 机械与汽车工程学院,上海 201620

许昌远东传动轴股份有限公司,河南 许昌 461000

声学 非平稳车内噪声 时变声品质评价 客观评价方法 时间序列 Savitzky-Golay平滑滤波器

2024

噪声与振动控制
中国声学学会

噪声与振动控制

CSTPCD北大核心
影响因子:0.622
ISSN:1006-1355
年,卷(期):2024.44(6)