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Design Methodology and Parametric Design Study of the On-Board Electrical Power System for Hybrid Electric Aircraft Propulsion (2020)
Conference Proceeding
Valente, G., Sumsurooah, S., Ian Hill, C., Rashed, M., Vakil, G., Bozhko, S., & Gerada, C. (2020). Design Methodology and Parametric Design Study of the On-Board Electrical Power System for Hybrid Electric Aircraft Propulsion.

This paper presents parametric design studies of the on-board Electrical Power System (EPS) for a distributed hybrid aircraft propulsion. The work presents the methodology that has been adopted to develop the physics-based models of the EPS component... Read More about Design Methodology and Parametric Design Study of the On-Board Electrical Power System for Hybrid Electric Aircraft Propulsion.

Comparison of slotted and slotless PM machines for high kW/kg aerospace applications (2020)
Conference Proceeding
Dave, N., Vakil, G., Xu, Z., Gerada, C., Zhang, H., & Gerada, D. (2020). Comparison of slotted and slotless PM machines for high kW/kg aerospace applications. . https://doi.org/10.23919/icems50442.2020.9291221

With the ambitious targeted emissions reduction, the aircraft industry is moving towards drastically different aircraft architectures including hybrid-electric. These in turn require electrical machines with a step change improvement in power-density... Read More about Comparison of slotted and slotless PM machines for high kW/kg aerospace applications.

Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging (2020)
Conference Proceeding
Turabee, G., Cosma, G., Madonna, V., Giangrande, P., Khowja, M. R., Vakil, G., …Galea, M. (2020). Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging. In 2020 International Joint Conference onNeural Networks (IJCNN): 2020 conference proceedings (1-7). https://doi.org/10.1109/IJCNN48605.2020.9207378

© 2020 IEEE. Health monitoring has gained a massive interest in power systems engineering, as it has the advantage to reduce operating costs, improve reliability of power supply and provide a better service to customers. This paper presents surrogate... Read More about Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging.

Thermal Lifetime Evaluation of Electrical Machines Using Neural Network (2020)
Conference Proceeding
Turabee, G., Khowja, M. R., Madonna, V., Giangrande, P., Vakil, G., Gerada, C., & Galea, M. (2020). Thermal Lifetime Evaluation of Electrical Machines Using Neural Network. In 2020 IEEE Transportation Electrification Conference & Expo (ITEC) (1153-1158). https://doi.org/10.1109/ITEC48692.2020.9161662

© 2020 IEEE. This paper proposes a surrogate approach which utilises an supervised neural network to significantly shorten the time required for thermal qualification of electrical machines' insulation. The proposed approach is based on a feedforward... Read More about Thermal Lifetime Evaluation of Electrical Machines Using Neural Network.