分散式传感器网络损伤识别的团块插值误差

IF 2.1 3区 工程技术 Q2 ENGINEERING, CIVIL
Said Quqa, P. Giordano, M. Limongelli, L. Landi, P. Diotallevi
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引用次数: 5

摘要

智能传感系统领域的最新发展使得能够执行简单的机载操作,这些操作越来越多地用于基于振动的结构健康监测(SHM)背景下复杂程序的分散。传统上,由多个传感器收集的振动数据用于识别集中拓扑中的损伤敏感特征(DSF)。然而,处理大型基础设施和无线系统可能具有挑战性,因为它们的传输范围有限,并且能耗随着传感网络的复杂性而增加。基于在检查地点附近收集的数据的本地DSF是克服几何限制和轻松设计可扩展无线传感系统的关键。此外,原始数据的板载预处理对于降低传输速率和提高网络的整体效率是必要的。在这项研究中,一种有效的实时模态识别方法与损伤特征的局部近似(插值误差)一起使用,以检测和定位由于刚度损失引起的损伤。使用分散拓扑结构中组织的传感器小组记录的响应来评估DSF。这使得能够实时识别机载损伤,从而减少计算工作量和内存分配要求。使用真实数据进行的实验测试证实了所提出方法的稳健性及其在分布式传感器网络上实现的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clump interpolation error for the identification of damage using decentralized sensor networks
Recent developments in the field of smart sensing systems enable performing simple onboard operations which are increasingly used for the decentralization of complex procedures in the context of vibration-based structural health monitoring (SHM). Vibration data collected by multiple sensors are traditionally used to identify damage-sensitive features (DSFs) in a centralized topology. However, dealing with large infrastructures and wireless systems may be challenging due to their limited transmission range and to the energy consumption that increases with the complexity of the sensing network. Local DSFs based on data collected in the vicinity of inspection locations are the key to overcome geometric limits and easily design scalable wireless sensing systems. Furthermore, the onboard pre-processing of the raw data is necessary to reduce the transmission rate and improve the overall efficiency of the network. In this study, an effective method for real-time modal identification is used together with a local approximation of a damage feature, the interpolation error, to detect and localize damage due to a loss of stiffness. The DSF is evaluated using the responses recorded at small groups of sensors organized in a decentralized topology. This enables the onboard damage identification in real time thereby reducing computational effort and memory allocation requirements. Experimental tests conducted using real data confirm the robustness of the proposed method and the potential of its implementation onboard decentralized sensor networks.
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来源期刊
Smart Structures and Systems
Smart Structures and Systems 工程技术-工程:机械
CiteScore
6.50
自引率
8.60%
发文量
0
审稿时长
9 months
期刊介绍: An International Journal of Mechatronics, Sensors, Monitoring, Control, Diagnosis, and Management airns at providing a major publication channel for researchers in the general area of smart structures and systems. Typical subjects considered by the journal include: Sensors/Actuators(Materials/devices/ informatics/networking) Structural Health Monitoring and Control Diagnosis/Prognosis Life Cycle Engineering(planning/design/ maintenance/renewal) and related areas.
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