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Dynamic displacement estimation from acceleration measurements using a wireless smart sensor

机译:使用无线智能传感器根据加速度测量值进行动态位移估计

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A displacement measurement provides useful information for structural health monitoring (SHM) as it is directly related to stiffness of the structure. Most existing methods of direct measurement such as the Laser Doppler Vibrometer (LDV) and the Liner Variable Differential Transformer (LVDT) are known to have accurate performance but have difficulties particularly in the use of large-scale civil structures as the methods rely on fixed reference points. Alternatively, indirect methods have been developed and widely used methods are Global Positioning System (GPS), vision-based displacement measurement system and displacement estimation from acceleration record. Among the indirect method, the use of accelerometer provides simple and economical in term of both hardware installation and operation. The major problem using acceleration based displacement estimation is low frequency drift caused by double integration. Recently, dynamic displacement estimation algorithm that addresses low-frequency drift problem has been developed. This study utilizes Wireless Smart Sensor (WSN) for estimating dynamic displacement from acceleration measurement in combination with the recently developed displacement estimation algorithm. Integrated into WSN that are low-cost, wireless, compatible with accelerometers, and capable of onboard computation, the displacement can be measured without limit of location on large-scale civil structures. Thus, this approach has the significant potential to impact many applications that require displacement measurements. With the displacement estimation algorithm embedded, the WSN performs in-network data processing to estimate displacements at each distributed sensor location wirelessly using only measured acceleration data. To experimentally validate the performance of displacement estimation using WSN for the use in structures with multiple- degree of freedom, the random vibration test is conducted on the three-story shear building model. The estimated displacement is compared with the reference displacements measured from the laser displacement sensor and the result shows good agreement.
机译:位移测量为结构健康监测(SHM)提供了有用的信息,因为它与结构的刚度直接相关。众所周知,大多数现有的直接测量方法,例如激光多普勒振动计(LDV)和线性可变差动变压器(LVDT),都具有精确的性能,但由于依赖于固定参考,特别是在使用大型民用建筑时存在困难点。可替代地,已经开发了间接方法,并且广泛使用的方法是全球定位系统(GPS),基于视觉的位移测量系统以及根据加速度记录的位移估计。在间接方法中,加速度计的使用在硬件安装和操作方面都提供了简单而经济的方法。使用基于加速度的位移估计的主要问题是由双重积分引起的低频漂移。近来,已经开发了解决低频漂移问题的动态位移估计算法。这项研究结合最新开发的位移估算算法,利用无线智能传感器(WSN)通过加速度测量估算动态位移。集成到WSN中的低成本,无线,与加速度计兼容并能够进行车载计算,可以在大型民用建筑中不受位置限制的情况下测量位移。因此,这种方法具有很大的潜力来影响许多需要位移测量的应用。通过嵌入位移估计算法,WSN进行网络内数据处理,以仅使用测得的加速度数据无线估计每个分布式传感器位置的位移。为了通过实验验证使用WSN的位移估计在多自由度结构中的使用性能,对三层剪切建筑模型进行了随机振动测试。将估计的位移与从激光位移传感器测得的参考位移进行比较,结果显示出很好的一致性。

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