Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating condition ....Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating conditions. A bearing degradation model will estimate the remaining useful life. Since rolling element bearings are among the most critical components in most machines, the results of this research will also provide massive benefits in other sectors such as mining, transportation, energy production and manufacturing.Read moreRead less
Cues as catalysts for skilled performance: identifying a mechanism to improve design, training, and selection in high technology control environments. This project will test a new model of expert diagnosis in high-technology environments such as power system control. By understanding skilled diagnosis, the project can inform selection, training, and the design of new interfaces to improve efficiency and prevent failures across a number of different environments in which skilled diagnosis is nece ....Cues as catalysts for skilled performance: identifying a mechanism to improve design, training, and selection in high technology control environments. This project will test a new model of expert diagnosis in high-technology environments such as power system control. By understanding skilled diagnosis, the project can inform selection, training, and the design of new interfaces to improve efficiency and prevent failures across a number of different environments in which skilled diagnosis is necessary.Read moreRead less
Understanding and improving pilot learning and development at critical stages of their career: Maintaining airline safety in changing times. Pilot training has never been more important with intense competitive pressure on airlines to improve training in response to rapid growth and a tight supply of experienced pilots. In an industry where economic imperatives and aircraft safety are tightly interlinked, regional airlines in particular are under pressure to recruit and promote less experienced ....Understanding and improving pilot learning and development at critical stages of their career: Maintaining airline safety in changing times. Pilot training has never been more important with intense competitive pressure on airlines to improve training in response to rapid growth and a tight supply of experienced pilots. In an industry where economic imperatives and aircraft safety are tightly interlinked, regional airlines in particular are under pressure to recruit and promote less experienced pilots. The study aims to follow two cohorts of pilots at critical stages in their careers: new pilots entering an airline and first officers seeking promotion to Captain. This project aims to fill a gap in research on pilot training through closely observed investigation into how pilots learn to fly, creating innovations in pilot training, with applicability to other complex work environments.Read moreRead less
Temporal and spatial Bayesian network modelling for improved fog forecasting. This project aims to improve the accuracy of fog forecasting by explicitly modelling the spatial and temporal uncertainties surrounding fog formation. It is expected weather forecast services will adopt our approach to improve their predictions of fog, which will in turn help transport companies save costs, cut emissions and improve safety.
Formal modelling and analysis of software requirements for air traffic management systems for improved integrity assurance. This project will significantly reduce the time and cost of developing software for critical applications such as aviation and air traffic management. As well as improving the trustworthiness of safety-critical computer-based systems, this project will also enable system improvements to be deployed faster and more reliably.
Onset Theory: Pushing the design envelope for textile composite structures. This study aims to exploit an innovative physics-based approach to predict the strength of textile composites. This is particularly important in areas such as aircraft design, where drastic weight savings are needed to allow designers to remain competitive in a low-carbon future. Improved theory and design tools will remove conservatism and account for a large part of these weight savings. The new approach is the first t ....Onset Theory: Pushing the design envelope for textile composite structures. This study aims to exploit an innovative physics-based approach to predict the strength of textile composites. This is particularly important in areas such as aircraft design, where drastic weight savings are needed to allow designers to remain competitive in a low-carbon future. Improved theory and design tools will remove conservatism and account for a large part of these weight savings. The new approach is the first to be consistent at all length scales — from atoms to aeroplanes — ensuring relevance for new and evolving composite material systems. A novel understanding of crack initiation in textile laminates is intended to reduce design and certification effort for new aircraft and help to design more efficient airframes at a lower cost.Read moreRead less