应用灰色系统理论对叉车声品质分析与预测建模

发布时间：2018-01-26 10:53

本文关键词： 辐射噪声声品质叉车灰色系统理论预测建模　出处：《科学技术与工程》2017年20期 　论文类型：期刊论文

【摘要】：为了研究灰色系统理论在声品质预测建模方面应用的有效性,对5款3吨位叉车在怠速和额定转速工况下的30个车内外辐射噪声样本进行了研究。以烦躁度为主观评价指标,采用等级评分法进行了主观评价实验。运用Artemi S软件分析计算了主要心理声学客观参数。选取了响度、尖锐度、粗糙度和抖动度为主要分析对象;运用灰色系统理论算法分析了烦躁度与心理学客观参数的相关性,得到各相关系数。证明了所取心理学客观参数与烦躁度之间具有较高的相关性。基于灰色系统理论的GM(0,N)模型,建立了烦躁度的预测模型,并对预测模型进行了误差检验。结果表明基于灰色系统理论所建立的烦躁度预测模型具有较高的精度,即预测值能够较接近人的主观感受。
[Abstract]:In order to study the validity of grey system theory in acoustic quality prediction modeling. In this paper, 30 samples of external and internal radiated noise of 5 3 tonnage forklift vehicles under idle and rated speed conditions are studied. The irritability degree is taken as the subjective evaluation index. The subjective evaluation experiment was carried out by grade scoring method. The main objective parameters of psychoacoustics were analyzed and calculated by using Artemi S software. The loudness, sharpness, roughness and jitter were selected as the main analysis objects. The correlation between the degree of irritability and the objective parameters of psychology is analyzed by using the grey system theory algorithm. The correlation coefficient is obtained and the correlation between the objective parameters of psychology and the degree of irritability is proved. Based on the GM0 / N) model of grey system theory, the prediction model of agitation degree is established. The results show that the prediction model based on grey system theory has higher accuracy, that is, the prediction value can be close to the subjective feelings of people.
【作者单位】：厦门大学航空航天学院;
【基金】：福建省科技重大专项(2015HZ0002)资助
【分类号】：TH242
【正文快照】： 近年来,车辆声学舒适性逐渐成为衡量现代车辆品质的重要指标之一,也是人们评价和选购车辆时考虑的主要因素,因此吸引了大量科研工作者及汽车企业的关注。以往车辆法规都以A计权声压级作为评级声学舒适性的标准[1],但近些年研究表明,传统的A计权声压级不足以描述人对车辆噪声主

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