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Field
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of the challenges is fault detection and diagnosis of bearings subject to low (rotational) speed. As vibration/acoustic signals generated by the faults of low-speed bearings are very weak and often covered by strong
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Bayesian inference framework for identifying complex aerospace systems combining with limited experimental data. It can be also used to quantify uncertainties from experimental testing, significantly
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Research Objectives (OBJs) include OBJ1- Modelling framework design, development, and validation of models for the eVTOL and its sub-systems for both control development and evaluation. OBJ2- Design and
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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environments—such as fleets with multiple aircraft types. Objectives Objective 1: Map current data types, structures, and interoperability challenges to build a detailed "as-is" understanding of current
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of the project. The student is expected to travel between the University and the Hospital Trust in Liverpool. Project aims and objectives Using the state-of-the-art integrative physiology techniques, this multi
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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research centre is in Ellesmere Port with the focus on new product discovery for all of its Business Units with a growing emphasis on electrification and biotechnology applications. Key Objectives Synthesize
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness
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on their health, welfare and successful transition from racing to retirement. Specific objectives include: Characterisation of the gut microbiome in a population of midlife and older horses retired from racing