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Active Ultrasonic Joint Integrity Adjudication for Real-timeStructural Health Monitoring

机译:主动超声联合完整性裁决用于实时结构健康监测

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The Operationally Responsive Space (ORS) strategy hinges, in part, on realizing technologies which can facilitate the rapid deployment of satellites. Presently, preflight qualification testing and vehicle integration processes are time consumptive and pose as two significant hurdles which must be overcome to effectively enhance US space asset deployment responsiveness. There is a growing demand for innovative embedded Structural Health Monitoring (SHM) technologies which can be seamlessly incorporated onto payload hardware and function in parallel with satellite construction to mitigate lengthy preflight checkout procedures. In this effort our work is focused on the development of a joint connectivity monitoring algorithm which can detect, locate, and assess preload in bolted joint assemblies. Our technology leverages inexpensive, lightweight, flexible thin-film macro-fiber composite (MFC) sensor/actuators with a novel online, data-driven signal processing algorithm. This algorithm inherently relies upon Chaotic Guided Ultrasonic Waves (CGUW) and a novel cross-prediction error classification technique. The efficacy of the monitoring algorithm is evaluated through a series of numerical simulations and experimentally in two test configurations. We conclude with a discussion surrounding further development of this approach into a commercial product as a real-time flight readiness indicator.
机译:作战响应空间(ORS)策略部分取决于实现可促进卫星快速部署的技术。当前,飞行前资格测试和车辆集成过程非常耗时,是必须要克服的两个重要障碍,以有效增强美国太空资产部署的响应能力。人们对创新的嵌入式结构健康状况监视(SHM)技术的需求不断增长,可以将其无缝地集成到有效载荷硬件中,并与卫星构造并行运行以减轻冗长的飞行前检查程序。在这项工作中,我们的工作重点是开发可检测,定位和评估螺栓连接组件中的预紧力的关节连通性监视算法。我们的技术利用廉价,轻便,灵活的薄膜宏纤维复合(MFC)传感器/执行器,以及新颖的在线数据驱动信号处理算法。该算法固有地依赖于混沌导引的超声波(CGUW)和新颖的交叉预测误差分类技术。通过一系列数值模拟并在两个测试配置中通过实验评估了监视算法的有效性。我们以围绕这种方法进一步发展为商业产品作为实时飞行准备指标的讨论作为结束。

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