44 data-"https:"-"https:"-"https:"-"https:"-"Institute-for-Basic-Science" PhD positions at Cranfield University
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, unknown correlation, and other useful information for diagnosis and prognosis solutions which leads to enhance reliability, maintainability and readiness of the selected system. Big Data analytics has
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, the traditional statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental
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cost and reduce the true potential of the productivity. In this PhD research, a framework for manufacturing prognostics will be proposed to address the mentioned challenge with a focus on
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engineering and AI The PhD will develop physics-informed digital twins for offshore wind turbines by integrating real-time monitoring data, advanced physics modelling and AI-assisted data analytics. The
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materials science, coating deposition process technology, and device engineering for non-flat optics. The main objectives and tasks are as follows: Materials Engineering: Critically review literature
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provide more good estimation of useful life. In this research, a theory will be postulated for the combined mode of gear failures. The theory will be supported by the basic gear failure mathematics
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aforementioned different categories for a better capability of managing the uncertainty related to system complexity and data availability to achieve more accurate RUL estimations The student will have the
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improve the science base of manufacturing research. The Through-life Engineering Services (TES) Centre are among the world leaders in through-life approaches for high value systems, Condition monitoring
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) batteries for transport systems. You will combine hands-on experiments with physics-based data-driven modelling to understand how Li-S batteries perform in real applications and develop suitable battery
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This PhD project will focus on developing, evaluating, and demonstrating an intelligent solution of diagnosis and prognosis for rotating machinery to enhance safety, reliability, maintainability and