Structural health monitoring using empirical mode decomposition and the Hilbert phase

Structural health monitoring using empirical mode decomposition and the Hilbert phase
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DOI:
10.1016/j.jsv.2005.10.024
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发表时间:
2006-06-27
影响因子:
4.7
通讯作者:
Salvino, Liming
Salvino, Liming
中科院分区:
工程技术2区
文献类型:
--
作者:
Pines, Darryll;Salvino, Liming

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本文讨论了一种新的信号处理工具,包括使用经验模态分解及其在结构健康监测中的应用。经验模态分解是一种时间序列分析方法,它提取一组自定义的基函数来描述系统的振动响应。结合希尔伯特变换,经验模态分解方法提供了关于振动响应性质的一些独特信息。本文将该方法用于处理各种I-D结构有无结构损伤的时间序列数据。经验导出的基函数通过希尔伯特-黄变换处理,以获得幅度,相位和阻尼信息。这些幅度、相位和阻尼信息随后被处理以提取通过结构传播的潜在入射能量。这种入射能量也被称为结构的脱脱反应。使用简单的基于物理的I-D结构模型,可以通过跟踪连续自由度之间的相位特性来确定损伤的位置和程度。本文还用一个民用建筑模型对该方法进行了实验验证。结果表明,这种新的时间序列方法是一种强大的信号处理工具,可以跟踪结构振动响应的独特特征。(c) 2006 Elsevier Ltd.版权所有。
This paper discusses a new signal processing tool involving the use of empirical mode decomposition and its application to health monitoring of structures. Empirical mode decomposition is a time-series analysis method that extracts a custom set of basis functions to describe the vibratory response of a system. In conjunction with the Hilbert Transform, the empirical mode decomposition method provides some unique information about the nature of the vibratory response. In this paper, the method is used to process time-series data from a variety of I-D structures with and without structural damage. Empirically derived basis functions are processed through the Hilbert-Huang Transform to obtain magnitude, phase, and damping information. This magnitude, phase, and damping information is later processed to extract the underlying incident energy propagating through the structure. This incident energy is also referred to as the dereverberated response of a structure. Using simple physics-based models of I-D structures, it is possible to determine the location and extent of damage by tracking phase properties between successive degrees of freedom. This paper also presents experimental validation of this approach using a civil building model. Results illustrate that this new time-series method is a powerful signal processing tool that tracks unique features in the vibratory response of structures. (c) 2006 Elsevier Ltd. All rights reserved.