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Analysis and reconstruction of nonstationary random vibration signals using wavelet transformations.

机译:使用小波变换分析和重建非平稳随机振动信号。

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摘要

Laboratory vibration testing has been used for many years as a method to ensure the mechanical and functional integrity of a system or subsystem throughout its expected service environments. However, the vast majority of vibration specifications are developed with the assumption of stationarity. The stationarity requirement results from the shortcomings of traditional vibration signal analysis tools, such as the Power Special Density, to distinguish the time varying features of a nonstationary signal.;Unfortunately, the stationarity requirement of classical vibration specification development procedures prohibits addressing a potentially large number of nonstationary vibration environments. This is especially true of many military vehicles performing tactical maneuvers as demonstrated by the helicopter based example considered in this work.;There are two main objectives in this research effort. First is to explore the application potential of wavelet theory in the analysis of nonstationary vibration data. Specifically, wavelet theory will be researched to establish its potential for decomposing a nonstationary vibration signal while maintaining the signal's time varying power and spectral characteristics. Second is to develop a general concept for a compactly supported nonstationary vibration specification. The resulting specification will be designed to exploit the benefits of motion replication based implementation.;This dissertation illustrates the effectiveness of wavelet based signal analysis techniques on an ensemble of nonstationary vibration data. Combining wavelet based signal decomposition with an already well established set of traditional signal analysis tools, a nonstationary vibration specification methodology is proposed and demonstrated.
机译:实验室振动测试已被用作确保系统或子系统在整个预期服务环境中机械和功能完整性的一种方法。但是,绝大多数振动规范是在平稳性的假设下制定的。平稳性要求是由传统振动信号分析工具(例如功率特殊密度)的缺点造成的,以区分非平稳信号的时变特征。不幸的是,经典振动规范开发过程的平稳性要求禁止处理潜在的大量信号。非平稳振动环境。正如在本工作中考虑的基于直升机的示例所证明的那样,对于许多执行战术演习的军用车辆而言尤其如此。本研究工作有两个主要目标。首先是探索小波理论在非平稳振动数据分析中的应用潜力。具体来说,将研究小波理论,以建立其分解非平稳振动信号的潜力,同时保持信号随时间变化的功率和频谱特性。其次是为紧凑支持的非平稳振动规范开发一个通用概念。由此产生的规范将被设计为利用基于运动复制的实现的好处。本论文说明了基于小波的信号分析技术在一组非平稳振动数据上的有效性。结合基于小波的信号分解和一套已经建立好的传统信号分析工具,提出并演示了一种非平稳振动规范方法。

著录项

  • 作者

    Hale, Michael Tad.;

  • 作者单位

    The University of Alabama in Huntsville.;

  • 授予单位 The University of Alabama in Huntsville.;
  • 学科 Engineering Electronics and Electrical.;Engineering System Science.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 131 p.
  • 总页数 131
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;系统科学;
  • 关键词

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