摘 要：以11款纯电动客车车内噪声样本为研究对象，利用主成分分析方法对样本的客观参数进行降维处理，以降维后的主成分为自变量，以主观评价打分结果为因变量，构建多元线性回归预测模型结果表明，该模型平均相对误差为4.6%，预测结果可靠。
关键词：声品质；电动客车；主成分回归分析；主观评价
中图分类号：U461.4 文献标志码：A 文章编号：1006-3331（2024）04-0049-04
Construction of a Evaluation Model for Interior Sound Quality of Pure Electric Buses Based on Principal Component Regression Analysis
LIN Yanbin
Abstract: This paper takes the 11 samples of interior noise in pure electric buses as the research object, reduces the dimensionality of objective parameters by principal component analysis method, and then uses the reduced principal component as independent variables and subjective evaluation results as dependent variables to construct a multiple linear regression prediction model. The results show that the average relative error of the model is 4.6%,and the prediction results are reliable.
Key words: sound quality; electric bus; principal component regression analysis; subjective evaluation
