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Structural damage detection robust against time synchronization errors

机译:结构损伤检测对时间同步错误具有鲁棒性

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Structural damage detection based on wireless sensor networks can be affected significantly by time synchronization errors among sensors. Precise time synchronization of sensor nodes has been viewed as crucial for addressing this issue. However, precise time synchronization over a long period of time is often impractical in large wireless sensor networks due to two inherent challenges. First, time synchronization needs to be performed periodically, requiring frequent wireless communication among sensors at significant energy cost. Second, significant time synchronization errors may result from node failures which are likely to occur during long-term deployment over civil infrastructures. In this paper, a damage detection approach is proposed that is robust against time synchronization errors in wireless sensor networks. The paper first examines the ways in which time synchronization errors distort identified mode shapes, and then proposes a strategy for reducing distortion in the identified mode shapes. Modified values for these identified mode shapes are then used in conjunction with flexibility-based damage detection methods to localize damage. This alternative approach relaxes the need for frequent sensor synchronization and can tolerate significant time synchronization errors caused by node failures. The proposed approach is successfully demonstrated through numerical simulations and experimental tests in a lab.
机译:基于无线传感器网络的结构损坏检测可能会受到传感器之间的时间同步错误的严重影响。传感器节点的精确时间同步已被视为解决此问题的关键。然而,由于两个固有的挑战,在大型无线传感器网络中,长时间的精确时间同步通常是不切实际的。首先,需要定期执行时间同步,这需要在传感器之间进行频繁的无线通信,而能源成本很高。其次,节点故障可能导致明显的时间同步错误,而节点故障可能会在民用基础架构上进行长期部署期间发生。在本文中,提出了一种对无线传感器网络中的时间同步错误具有鲁棒性的损伤检测方法。本文首先研究了时间同步误差使识别出的模式形状失真的方式,然后提出了一种减少识别出的模式形状失真的策略。这些识别出的模式形状的修改值然后与基于柔韧性的损坏检测方法结合使用以定位损坏。这种替代方法放宽了对频繁传感器同步的需求,并且可以忍受由节点故障引起的重大时间同步错误。在实验室中通过数值模拟和实验测试成功地证明了所提出的方法。

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