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Structural health monitoring using sparse distributed networks of guided wave sensors

机译：使用导波传感器的稀疏分布式网络进行结构健康监测

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摘要

The motivation for using guided acoustic waves as the sensing mechanism for large area structural health monitoring (SHM) is explained and the logic for using baseline signal subtraction as the fundamental signal processing tool is presented. In the first part of this paper, a simple experimental example is presented to illustrate how a guided wave SHM using baseline subtraction could be used to detect and locate simulated damage in a 1 m by 1.5 m by 3 mm thick aluminum plate. The experiment shows for an SHM system to be useful it must have a coherent noise floor around 40 dB lower in amplitude that the amplitude of a signal reflected from the edge of the structure. The experiment demonstrates that the sensitivity is severely limited by the stability of the baseline subtraction procedure which deteriorates rapidly over time. In the second part of the paper, the factors affecting the stability of the reference signal subtraction approach are investigated. Experimental and modeling studies on a simple test structure are presented that show that a change in temperature of a few degrees leads to coherent artifacts after baseline subtraction that are of a similar magnitude to the signals arising from defects. A possible strategy for overcoming this barrier to reliable baseline signal subtraction is then considered and shown to provide an improvement in sensitivity of around 10 dB.
机译：解释了将声波作为大面积结构健康监测（SHM）的传感机制的动机，并提出了使用基线信号减法作为基本信号处理工具的逻辑。在本文的第一部分中，给出了一个简单的实验示例，以说明使用基线减法的导波SHM如何可用于检测和定位1 m x 1.5 m x 3 mm厚的铝板中的模拟损伤。实验表明，对于SHM系统而言，有用的系统必须具有相干的本底噪声，其本底噪声幅度应比从结构边缘反射的信号幅度低40 dB。实验表明，灵敏度受到基线减法程序稳定性的严重限制，该稳定性会随着时间的推移而迅速恶化。在本文的第二部分中，研究了影响参考信号减法方法稳定性的因素。提出了在简单测试结构上进行的实验和建模研究，这些研究表明，温度几度变化会导致基线相减后产生连贯的伪影，其幅度与由缺陷产生的信号相似。然后考虑了克服此障碍以实现可靠的基线信号减法的可能策略，并表明该策略可将灵敏度提高约10 dB。

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