噪声与振动控制2019，Vol.39Issue(4)：145-149,5.DOI:10.3969/j.issn.1006-1355.2019.04.027
基于主成分分析的运行工况车轮轮心载荷识别方法研究
Research on Operational Six-axis Wheel Force Identification Method based on Principal Component Analysis
邓江华 1孙健颖 1李奥飞2
作者信息
- 1. 中国汽车技术研究中心有限公司, 天津 300300
- 2. 中国汽车技术研究中心有限公司, 天津 300300
- 折叠
摘要
Abstract
The operational six-axis wheel force identification method is studied. Considering that the road noises are partially correlated, the operational interior noise signal need to be transformed from a coupled multi-reference problem to several independent single-reference problems based on principal components analysis (PCA). The spindle load is identified based on MIM (matrix inverse method) and SVD (Singular value decomposition). Finally, through the DOF conversion technology, the identified spindle force is converted into a force and a torque at each wheel center. This method solves the difficulty for obtaining the load boundary condition in the CAE road noise analysis. In addition, this method can also be used for benchmark analysis and target setting of road noise excitation sources to achieve the desired road noise level as well as for diagnosing root causes in troubleshooting processes.关键词
振动与波/轮胎六分力/传递路径分析/逆矩阵方法/主成分分析/自由度转换Key words
vibration and wave/ six-axis wheel force/ transfer function analysis/ matrix inverse method/ principal component analysis (PCA)/ DOF conversion分类
交通工程引用本文复制引用
邓江华,孙健颖,李奥飞..基于主成分分析的运行工况车轮轮心载荷识别方法研究[J].噪声与振动控制,2019,39(4):145-149,5.
