Intelligent Health Monitoring of Aerospace Structures Using Wireless Sensor Networks

发展智能传感和基于智能传感器的创新健康监测框架将需要一次重大的范式转变，涉及先进的传感、微处理、信号处理、无线通信和损伤识别算法。该研究旨在开发一种基于智能传感器的航天结构健康监测多传感器数据融合信息框架。智能传感器能够激发诊断信号，测量物理参数，将数据解释并协作成信息，并通过无线链路与监测站通信。加州大学伯克利分校开发的MICA平台将作为本研究的基础。这项工作的目标是开发一种主动分布式智能传感系统，用于近乎实时地量化和可视化航空结构中的损伤位置和大小。这项调查的最终目标是为飞行人员或地面控制中心提供一种通用和强大的工具，以可视化高应力或飞行关键区域的破坏。这项研究将确定和解决在航空航天结构中建立SHMS的基本科学和工程挑战。由于微型智能传感器的基本设计限制，这项研究的结果将通过解决基本限制以及电源、协作计算效率、信号处理技术和无线权衡施加的相互冲突的限制来推动此类SHM系统的发展。所提出的研究将为一种新型的无线智能传感器网络技术奠定基础，该技术可用于对复杂的航空航天系统和广泛的物理现象进行近实时的智能监控。据设想，拟议的工作将极大地促进传感器技术、数字信号处理、创新的SHM算法、损害重建和可视化以及实验室测量方法等领域的科学和工程知识。这是一个NSF 03-512(传感器倡议)项目。

The development of smart sensing and innovative health monitoring framework based on smart sensors will require a major paradigm shift involving advanced sensing, micro-processing, signal processing, wireless communication, and damage identification algorithms. The proposed research seeks to develop a multi-sensor data fusion information framework for aerospace structural health monitoring using smart sensors. The smart sensors are capable of exciting diagnostic signals, measuring physical parameters, interpreting and collaborating the data into information, and communicating with a monitoring station over a wireless link. The MICA platform developed at UC Berkeley will be used as a basis of this research. The work is targeted at developing an active distributed smart sensing system for quantifying and visualizing location and sizing of damage in aerospace structures in near real-time. The ultimate goal of this investigation is to provide flight crews or ground control center with a versatile and powerful tool to visualize the damage at high-stress or flight-critical areas.This study will identify and address basic scientific and engineering challenges toward establishing SHMS in aerospace structures. Due to basic design constraints of miniature smart sensors, results from this research will advance such SHM systems by addressing fundamental limits along with conflicting constraints imposed by power sources, collaborative computing efficiency, signal processing technology, and wireless tradeoffs. The proposed research will lay the groundwork for a novel wireless smart sensor network technology for near real-time intelligent monitoring of complex aerospace systems and a broad set of physical phenomena. It is envisioned that the proposed work will significantly advance scientific and engineering knowledge in the areas of sensor technology, digital signal processing, innovative SHM algorithms, damage reconstruction and visualization, and laboratory methodologies with measurements. This is an NSF 03-512 (Sensors Initiative) project.