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Automated real-time structure health monitoring via signature pattern recognition

机译:通过签名模式识别自动实时结构健康监控

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Described in this paper are the details of an automated real-time structure health monitoring system. The system is based on structural signature pattern recognition. It uses an array of piezoceramic patches bonded to the structure as integrated sensor-actuators, an electric impedance analyzer for structural frequency response function acquisition and a PC for control and graphic display. An assembled 3-bay truss structure is employed as a test bed. Two issues, the localization of sensing area and the sensor temperature drift, which are critical for the success of this technique are addressed and a novel approach of providing temperature compensation using probability correlation function is presented. Due to the negligible weight and size of the solid-state sensor array and its ability to sense incipient-type damage, the system can eventually be implemented on many types of structures such as aircraft, spacecraft, large-span dome roof and steel bridges requiring multilocation and real-time health monitoring.
机译:本文描述的是自动实时结构健康监测系统的细节。该系统基于结构签名模式识别。它使用与集成传感器致动器的结构粘合到结构的压电陶瓷贴片阵列,用于结构频率响应函数采集的电阻抗分析器和用于控制和图形显示的PC。组装的3架桁架结构用作试验台。呈现了两个问题,传感区域的定位和传感器温度漂移,这对于该技术的成功至关重要,并且呈现了使用概率相关函数提供了一种提供温度补偿的新方法。由于固态传感器阵列的重量和尺寸可忽略不计及其感知初始损坏的能力,最终可以在许多类型的结构上实现,例如飞机,航天器,大跨度圆顶屋顶和钢结构需要的类型多层和实时健康监测。

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