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Field
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therefore essential. Despite widespread deployment, existing CMS solutions are predominantly based on vibration measurements from accelerometers mounted on drivetrain components, and their performance remains
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POWER project addresses this challenge by filling vital knowledge gaps regarding underwater noise, biomass and water flows, and wildlife disturbance (such as seabirds and bats) to support a sustainable
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. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real-world applications. This PhD studentship (scholarship) leverages large-scale Earth Observation data
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characteristics. Vibration-induced fatigue and shock loading are among the primary causes of failure in critical engineering components. Although particle damping is an effective passive vibration-control technique
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Department. About the project TrainGate uses trackside inspection portals to monitor passing trains at operating speed. Images, acoustic and vibration signals, and identification data are combined to detect
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inspection portals to monitor passing trains at operating speed. Images, acoustic and vibration signals, and identification data are combined to detect and track defects in wheels, brakes, pantographs and
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structural systems and ULS / SLS design concepts Experience in structural dynamics and/or vibration analysis is an added asset Familiarity with finite element modelling (e.g. ABAQUS) and probabilistic methods
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between excited electronic states and the wildly vibrating atoms in these “soft semiconductors”. This can lead to the trapping of charge carriers and excitons (bound electron-hole pairs), shifted and
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to accurate sample reconstructions using advanced signal processing and tomographic reconstruction algorithms. With the inclusion of noise the object estimation accuracy will be based on statistical concepts
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the integration of advanced sensing technologies, digital twins, and Internet of Things (IoT) infrastructures. In acoustics, monitoring technologies have traditionally focused on environmental noise monitoring and