All Outputs (4)

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.

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.