All Outputs (6)

Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging (2020)
Conference Proceeding

© 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

© 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)
Conference Proceeding

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.

Thermal Design of an Integrated Inductor for 45kW Aerospace Starter-Generator (2020)
Conference Proceeding

This paper presents a combined electromagnetic and thermal design of integrated inductor, for the application of a 45kW aircraft starter-generator. The inductor is designed at high current density by using the apporach ofarea product, followed by the... Read More about Thermal Design of an Integrated Inductor for 45kW Aerospace Starter-Generator.

Novel Permanent Magnet Synchronous Motor with Integrated Filter Inductor Using Motor's Inherent Magnetics (2020)
Journal Article

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

© 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.