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首页> 外文期刊>IEEE transactions on dependable and secure computing >Dependable Structural Health Monitoring Using Wireless Sensor Networks
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Dependable Structural Health Monitoring Using Wireless Sensor Networks

机译:使用无线传感器网络进行可靠的结构健康监测

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摘要

As an alternative to current wired-based networks, wireless sensor networks (WSNs) are becoming an increasingly compelling platform for engineering structural health monitoring (SHM) due to relatively low-cost, easy installation, and so forth. However, there is still an unaddressed challenge: the application-specific dependability in terms of sensor fault detection and tolerance. The dependability is also affected by a reduction on the quality of monitoring when mitigating WSN constrains (e.g., limited energy, narrow bandwidth). We address these by designing a dependable distributed WSN framework for SHM (called DependSHM) and then examining its ability to cope with sensor faults and constraints. We find evidence that faulty sensors can corrupt results of a health event (e.g., damage) in a structural system without being detected. More specifically, we bring attention to an undiscovered yet interesting fact, i.e., the real measured signals introduced by one or more faulty sensors may cause an undamaged location to be identified as damaged (false positive) or a damaged location as undamaged (false negative) diagnosis. This can be caused by faults in sensor bonding, precision degradation, amplification gain, bias, drift, noise, and so forth. In DependSHM, we present a distributed automated algorithm to detect such types of faults, and we offer an online signal reconstruction algorithm to recover from the wrong diagnosis. Through comprehensive simulations and a WSN prototype system implementation, we evaluate the effectiveness of DependSHM.
机译:作为当前基于有线的网络的替代方案,无线传感器网络(WSN)由于成本相对较低,易于安装等原因,正成为越来越受欢迎的工程结构健康监控(SHM)平台。但是,仍然存在未解决的挑战:传感器故障检测和公差方面的特定于应用程序的可靠性。缓解WSN约束时(例如,有限的能量,窄的带宽),监视质量的降低也会影响可靠性。通过为SHM设计可靠的分布式WSN框架(称为DependSHM),然后检查其应对传感器故障和约束的能力,我们可以解决这些问题。我们发现证据表明有故障的传感器会破坏结构系统中健康事件的结果(例如损坏),而不会被检测到。更具体地说,我们将注意力集中在一个尚未发现但有趣的事实上,即,一个或多个故障传感器引入的实际测量信号可能会导致未损坏的位置被识别为损坏(假阳性)或已损坏的位置被识别为未损坏(假阴性)诊断。这可能是由于传感器键合故障,精度下降,放大增益,偏置,漂移,噪声等引起的。在DependSHM中,我们提出了一种分布式自动化算法来检测此类故障,并提供了一种在线信号重建算法以从错误的诊断中恢复。通过全面的仿真和WSN原型系统的实现,我们评估DependSHM的有效性。

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