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significantly reduce the amount of vibration data to be stored on edge devices or sent to the clouds. Hence, this project's results will have a high impact on reducing the hardware installation and operation
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the recording of substrate-borne vibrations produced by earthworms (and other invertebrates) in situ. To fully exploit this emerging technology there is a need to unravel the meaning within the data. As such
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@nottingham.ac.uk Please note, this scheme is only open to Home (UK) students Our project: Using facial and vocal tract dynamics to improve speech comprehension in noise Around 18 million individuals in the UK are
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the environmental noise sources, aerofoil noise is one of the major contributors, including noise from aircraft wing, aeroengine fan and wind turbines. Therefore, it is crucial to effectively reduce them for a quiet
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to a wide range of engineering problems, including real-time structural health monitoring, vibration analysis, and control design. The ideal candidate will have an outstanding engineering or related
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In practice, there are two main Challenges: (i) Robust extraction of DSF for continuous monitoring which are insensitive to EOVs. These DSF should be interpretable during the entire evolution of the structural performance, and they should be able to accommodate dimensionality and complexity...
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A 3.5 year PhD Engineering studentship under the supervision of Dr Evgeny Petrov . Blade vibrations in compressor and turbine bladed disks are one of the critical issues in designing gas-turbine
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Aerofoil broadband noise, specifically turbulence–leading edge interaction noise and trailing edge self-noise, is commonly encountered in aero-engines, wind turbines, and household appliances
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-phonon interactions, which together form tri-partite coupling that gives rise to effective optomechanical interaction between collective excitonic states (optical) and vibrational modes (mechanical
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This project focuses on reducing aerofoil broadband noise, specifically turbulence–leading edge interaction noise and trailing edge self-noise, commonly encountered in aero-engines, wind turbines