New Metrics for Characterizing Impulsive Events: Automotive Applications

PI：Alan G.HaddowInstitution：密歇根州立大学Proposal#：9978777 Proposal#：9978777 Proposal标题：New Metrics for Characteristic Imptive Events：AutomtiveApplicationsAbstrrat这个由Goali资助的项目关注于检测并有意义地表征和量化嵌入在信号中的脉冲事件。人们的注意力集中在汽车行业出现的信号上，因此，这项工作将在福特汽车公司科学研究实验室的长期教职员工访问期间进行。这项工作的主要目标是通过开发一种更适合于表征脉冲事件的更合适的技术来改进常用的基于谱的分析工具(傅立叶级数等)。这种基于小波分析的新方法利用了数据压缩领域中使用的现有技术，这些技术有效地选择了压缩信号的最佳基础。因此，这项工作的关键方面是找到适当的基函数来询问信号，以期提取实际有用的信息。初步工作将侧重于从相对简单的基于实验室的结构收集的数据。然后，它将从汽车应用程序中获得真实数据。这项工作的意义在于，现代数学信号分析工具将被引入一个通常采用新理论技术缓慢的领域。这些技术将针对实际应用而量身定做，并将对发动机爆震、音质、吱吱作响和碰撞耐用性设计等现有问题产生立竿见影的影响。虽然贯穿始终的重点是汽车应用，但拟议工作的更广泛应用是巨大的。

PI: Alan G. HaddowInstitution: Michigan State UniversityProposal #: 9978777Proposal Title: New Metrics for Characterizing Impulsive Events: AutomotiveApplicationsABSTRACTThis GOALI funded project is concerned with detecting and meaningfully characterizing and quantifying impulsive events that are imbedded in signals. Attention is focused on signals that arise in the automotive industry and as such, the work will be undertaken during a prolonged faculty visit to Ford Motor Company's Science Research Laboratory. The main objective of the work is to improve on the much used spectral-based analysis tools (Fourier series, etc) by developing a more appropriate technique that is better suited to characterize impulsive events. The new approach, based on wavelet analysis, exploits existing techniques used in the field of data compression that efficiently choose a best basis for compressing signals. Thus, the key aspect of the work is to find appropriate bases functions for interrogating the signals with a view to extracting practically useful information. Preliminary work will focus on data collected from relatively simple laboratory based structures. It will then progress to real data from automotive applications. The significance of the work is that modern mathematical signal analysis tools will be introduced to an area that is often slow to adopt new theoretical techniques. The techniques will be tailored to real applications and will have immediate impact to existing problems such as engine knock, sound quality, squeak and rattle, crash worthiness design, etc. While the emphasis throughout is toward automotive applications, the broader application of the proposed work is vast.