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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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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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, high-speed vibration monitoring in complex assemblies, and improved measurement capabilities in two-phase flow systems such as cryogenic fuels and hydrogen/ammonia-based configurations. This project
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parts of CBM. Therefore, diagnostics and prognostics of rotating machinery can help to reduce machine downtime and cost. Many techniques such as vibration analysis, current signature analysis, acoustic
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statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big