New Metrics for Characterizing Impulsive Events: Automotive Applications

表征脉冲事件的新指标：汽车应用

• 批准号: 9978777
• 负责人: Alan Haddow
• 金额: $ 4.16万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-10-01 至 2000-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9978777&HistoricalAwards=false
• 关键词: New; Metrics; Characterizing; Impulsive; Events

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.

PI：Alan G. Haddow机构：密歇根州立大学提案编号：9978777提案标题：新的脉冲事件特征化方法：汽车应用摘要该GOALI资助的项目涉及检测和有意义地表征和量化嵌入信号中的脉冲事件。注意力集中在汽车工业中出现的信号上，因此，这项工作将在对福特汽车公司科学研究实验室的长期教师访问期间进行。这项工作的主要目的是通过开发更适合描述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）。新的方法，基于小波分析，利用现有的技术在数据压缩领域，有效地选择一个最好的基础上压缩信号。因此，工作的关键方面是找到合适的基函数，用于询问信号，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实验室结构中收集的数据。然后，它将进展到来自汽车应用的真实的数据。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。这些技术将被定制为真实的应用，并将立即影响到现有的问题，如发动机爆震，声音质量，吱吱作响，碰撞价值设计等，而整个重点是对汽车应用，更广泛的应用所提出的工作是巨大的。