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首页> 外文期刊>Shock and vibration >Low-Power Computation Methods and Self-Powered Systems for Structural Health Monitoring Techniques using Lamb Waves for Embedded Sensing
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Low-Power Computation Methods and Self-Powered Systems for Structural Health Monitoring Techniques using Lamb Waves for Embedded Sensing

机译：使用兰姆波进行嵌入式传感的结构健康监测技术的低功耗计算方法和自供电系统

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Recent trends in Structural Health Monitoring (SHM) systems have demonstrated the growing interest in autonomous, embeddable devices able to perform in-situ inspection and to work conjointly and wirelessly in a global sensor network. Hence, the energy aspect is of prior importance when dealing with such systems. However, most signal processing methods for assessing the integrity of a structure still rely on linear transforms or operators, such as Fourier or amplitude analysis, which for example require analog-to-digital converters that consume a lot of energy. As well, in addition of optimizing the signal processing, another important part is the use of a proper energy management for the whole system. Hence, the purpose of this paper is twofold. First, it aims at reviewing a particular set of low energy cost methods for Structural Health Monitoring consisting of deriving a Damage Index (DI) obtained from the comparison of the LW signature with a reference signal using logical operators that greatly reduce the required computational energy. A particular emphasis will be placed not only on the performance of the exposed techniques, but also on their energy consumption as well as their sensitivity and robustness facing environmental drifts. It will therefore be shown that the use of non-linear operators for the comparison permits ultra-low energy requirements while allowing detection abilities similar to classical approaches. The second objective of this paper is to discuss the implementation of the whole system in an efficient way using proper management strategies. This issue will be discussed through an example of a self-powered SHM scheme powered using ambient vibrations.
机译：结构健康监测（SHM）系统的最新趋势表明，人们对能够执行就地检查以及在全球传感器网络中联合和无线工作的自动可嵌入设备的兴趣日益浓厚。因此，在处理此类系统时，能源方面具有先后重要性。但是，大多数用于评估结构完整性的信号处理方法仍然依赖于线性变换或算符，例如傅立叶或幅度分析，例如，它们需要消耗大量能量的模数转换器。同样，除了优化信号处理之外，另一个重要的部分是对整个系统使用适当的能量管理。因此，本文的目的是双重的。首先，它旨在审查用于结构健康监测的一组特定的低能耗方法，其中包括使用逻辑运算符从LW签名与参考信号的比较中得出的损伤指数（DI），该逻辑运算符可大大减少所需的计算能量。特别要强调的不仅是暴露技术的性能，还包括它们的能耗以及面对环境漂移的敏感性和鲁棒性。因此，将显示出，使用非线性算子进行比较允许超低能量需求，同时允许类似于经典方法的检测能力。本文的第二个目标是使用适当的管理策略，以有效的方式讨论整个系统的实施。将通过使用环境振动驱动的自供电SHM方案的示例来讨论此问题。

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