All Outputs (4)

Thermal Lifetime Evaluation of Electrical Machines Using Neural Network (2020)
Presentation / Conference Contribution
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.

A Hybrid Computational Tool to Analyze the Performance of Electric Machines with Reduced Content of Permanent Magnet (2020)
Presentation / Conference Contribution
Ram Kumar, R. M., Khowja, M. R., Vakil, G., Gerada, D., Gerada, C., Paciura, K., & Fernandes, B. G. (2020). A Hybrid Computational Tool to Analyze the Performance of Electric Machines with Reduced Content of Permanent Magnet. In 2020 IEEE Transportation Electrification Conference & Expo (ITEC) (340-345). https://doi.org/10.1109/itec48692.2020.9161631

Electric vehicles (EVs) are equipped with interior permanent magnet (IPM) or permanent magnet assisted synchronous reluctance (PM-SynRel) machines because of their superior performance in field weakening region. The effect of saturation is more prono... Read More about A Hybrid Computational Tool to Analyze the Performance of Electric Machines with Reduced Content of Permanent Magnet.

Novel Permanent Magnet Synchronous Motor with Integrated Filter Inductor Using Motor's Inherent Magnetics (2020)
Journal Article
Khowja, M. R., Gerada, C., Vakil, G., Patel, C., Odhano, S. A., Walker, A., & Wheeler, P. (2021). Novel Permanent Magnet Synchronous Motor with Integrated Filter Inductor Using Motor's Inherent Magnetics. IEEE Transactions on Industrial Electronics, 68(7), 5638-5649. https://doi.org/10.1109/tie.2020.3000110

A close functional and structural integration of passive elements is required to improve the power density of motor drives. Such power-dense motor drives are prerequisites in aerospace and automotive applications. This article presents a permanent ma... Read More about Novel Permanent Magnet Synchronous Motor with Integrated Filter Inductor Using Motor's Inherent Magnetics.

The Role of Neural Networks in Predicting the Thermal Life of Electrical Machines (2020)
Journal Article
Turabee, G., Khowja, M. R., Giangrande, P., Madonna, V., Cosma, G., Vakil, G., …Galea, M. (2020). The Role of Neural Networks in Predicting the Thermal Life of Electrical Machines. IEEE Access, 8, 40283-40297. https://doi.org/10.1109/ACCESS.2020.2975985

© 2013 IEEE. For a continuous mode of operation, insulating material in an electrical machine is subject to constant thermal, electrical, mechanical and environmental stresses where thermal stress is a major cause of gradual insulation deterioration,... Read More about The Role of Neural Networks in Predicting the Thermal Life of Electrical Machines.