Sort by
Refine Your Search
-
fitting for reduced order electrochemical models. Early detection of thermal anomalies in battery packs. Physics-based models and state of health estimation in lithium-sulfur batteries. Collecting data and
-
impacts, interest in river health has grown, pushing monitoring programmes increasingly into the spotlight. At the same time, advancements in sensor technology and deployment mean that much larger ranges
-
resources, and design facilities, supporting AI-powered electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health Management (IVHM) Centre, established in 2008 in
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
amounts of maintenance and operational data, from sensor streams to technical logs, yet much of it remains unstructured, fragmented, and underused. Hidden within these records are insights that could help
-
existing data analytics tools will help deploy these technologies in the industry context without the need for big datasets. Predictive Maintenance (PdM) is one of the maintenance strategies that has
-
The research in this doctoral opportunity will develop a failure model that can represent the combined effect of surface and bending failures in gears to perform reliable health prognostics. Lack
-
Balancing with Heterogeneous Energy Efficiency Policies," IEEE Global Communications Conference (Globecom), 2024. You will be working world-leading scholar, Professor Weisi Guo, on the topic partnered with
-
flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and mitigation system
-
. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
-
. This provides a unique capability to assist researchers and engineers in gas turbine performance and health monitoring in gas turbine and power generation industry. The history of gas turbine performance