8 Modal Analysis Using a UAV-Deployable Wireless Sensor Network 81 responders with preliminary data about the infrastructure state. Experimentation has also shed the light on some system limitations. Although the wireless system ensures relatively low latency, the time non-determinism of the latency makes it challenging to accurately determine the phase. This will be further rectified by basing the trigger not only on a wireless signal but also on a real-time clock onboard the package, where all sensors would collect data on a preset schedule. That will enable all sensors to have an accurate time reference further minimizing latency-related error. The future work will also include error-handling capabilities with the wireless system to allow rapid data transfer and real-time monitoring capabilities. Acknowledgments This material is based upon work supported by the Air Force Office of Scientific Research (AFOSR) through award no. FA9550-21-1-00832. This work is also partly supported by the National Science Foundation Grant number 1850012. The support of these agencies is gratefully acknowledged. Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the United States Air Force. References 1. Worden, K., Farrar, C.R., Manson, G., Park, G.: The fundamental axioms of structural health monitoring. Proc. R. Soc. A: Math. Phys. Eng. Sci. 463(2082), 1639–1664 (2007) 2. Bocca, M., Eriksson, L.M., Mahmood, A., Jäntti, R. and Kullaa, J.: A synchronized wireless sensor network for experimental modal analysis in structural health monitoring. Comput.-Aided Civil Infrastruct. Eng. 26(7), 483–499 (2011) 3. Nguyen, T., Chan, T.H.T., Thambiratnam, D.P.: Effects of wireless sensor network uncertainties on output-only modal analysis employing merged data of multiple tests. Adv. Struct. Eng. 17(3), 319–329 (2014) 4. Sim, S.H., Spencer, B.F. Jr., Zhang, M., Xie, H.: Automated decentralized smart sensor network for modal analysis. In: Tomizuka, M. (ed.) Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, vol. 7292, p. 72920W. International Society for Optics and Photonics, SPIE (2009) 5. Satme, J., Downey, A.: Drone delivered vibration sensor (2022). https://github.com/ARTS-Laboratory/Drone-Delivered-Vibration-Sensor 6. Carroll, S., Satme, J., Alkharusi, S., Vitzilaios, N., Downey, A., Rizos, D.: Drone-based vibration monitoring and assessment of structures. Appl. Sci. 11(18), 8560 (2021) 7. Stinemates, D.W., Farrar, C.R., Sohn, H., Bennett, J.G.: Structural health monitoring system design using finite element analysis. In Kundu, T. (ed.) Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems, vol. 4702, pp 169–178. International Society for Optics and Photonics, SPIE (2002)
RkJQdWJsaXNoZXIy MTMzNzEzMQ==