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Distributed Acquisition and Processing Network for Experimental Vibration Testing of Aero-Engine Structures

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Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting & Dynamic Environments Testing, Volume 7

Abstract

Detailed vibration testing of large assembled structures, such as aeroengines, leads to significant requirements on data acquisition and processing. This can lead to high system cost and long post processing times, which often limit the amount of data that can be acquired. A novel hardware-software acquisition system combination is proposed here to overcome some of the challenges of large scale data acquisition, based on the idea to distribute the acquisition and data processing load between a network of specialized acquisition nodes. The nodes work in parallel and are independent of each other, while sharing a synchronization clock. Each node has the capability to process the data being acquired on-line. The network allows for testing of novel data analysis methods and its modular nature enables an easy expansion of the system when required.

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Acknowledgements

Thanks to Rolls-Royce plc and the EPSRC for the support under the Prosperity Partnership Grant “Cornerstone: Mechanical Engineering Science to Enable Aero Propulsion Futures”, Grant Ref: EP/R004951/1 for supporting this work and allowing to publish its outcomes. Special thanks go to the team from National Instruments for the in-depth discussions about synchronisation methods, FPGA and modern acquisition system design.

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Correspondence to Michal J. Szydlowski .

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Szydlowski, M.J., Schwingshackl, C.W., Rix, A. (2021). Distributed Acquisition and Processing Network for Experimental Vibration Testing of Aero-Engine Structures. In: Walber, C., Walter, P., Seidlitz, S. (eds) Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting & Dynamic Environments Testing, Volume 7. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-030-47713-4_19

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  • DOI: https://doi.org/10.1007/978-3-030-47713-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-47712-7

  • Online ISBN: 978-3-030-47713-4

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