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minimum decision-making requirements. Objective 4: Test the developed approach using real-world data from BAE Systems to evaluate its effectiveness and refine the framework. The project will use tools
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to contribute to advancing disruptive technologies with high-potential impact for decarbonising energy systems, while developing industry-relevant skills in power conversion systems design, testing and validation
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base associated with this consumer product through the design and implementation of relevant biomechanical testing and wearer input. Candidates: Candidates should have a high 2.1 or 1st class
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, Cranfield fosters innovation through applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities
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to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health
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. Despite some success stories of the use of ultrasound/AE-based technologies for CM of low-speed bearings, high investment cost for hardware and software is the main bottleneck in adopting these technologies
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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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methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can