Results 11 to 20 of about 4,403,331 (387)

Energy Management of PV-based Parking Lots Considering Utility Satisfaction [PDF]

open access: yesE3S Web of Conferences, 2023
The urgent need to reduce greenhouse gas emissions has prompted the exploration of cleaner energy options such as renewable energy resources (RES) and electric vehicles (EVs).
Elsayed Youmna   +3 more
doaj   +1 more source

Electrical Machines Winding Technology: Latest Advancements for Transportation Electrification

open access: yesMachines, 2022
The ever-increasing demand for higher-power dense electrical machines has resulted in different electrical, mechanical, and thermal stresses, which can eventually cause machine failure.
Ahmed Selema, M. Ibrahim, P. Sergeant
semanticscholar   +1 more source

The Key Role of 3D Printing Technologies in the Further Development of Electrical Machines

open access: yesMachines, 2022
There is a strong general demand for the permanent improvement of electrical machines. Nowadays, these are at their near maximum potential, and even small further improvements can only be achieved with great effort and high cost.
L. Szabó, D. Fodor
semanticscholar   +1 more source

Comparison of Commonly Used Cooling Concepts for Electrical Machines in Automotive Applications

open access: yesMachines, 2022
The thermal design of electrical machines has numerous influencing factors. This paper compares different cooling methods, their volume flow rates and other machine parameters with regard to the continuous power of a PMSM.
R. Lehmann   +3 more
semanticscholar   +1 more source

Utilization of Additive Manufacturing in the Thermal Design of Electrical Machines: A Review

open access: yesMachines, 2022
Additive manufacturing (AM) is a key technology for advancing many fields, including electrical machines. It offers unparalleled design freedom together with low material waste and fast prototyping, which is why it has become to focus of many researchers.
M. Sarap   +4 more
semanticscholar   +1 more source

Metal Additive Manufacturing for Electrical Machines: Technology Review and Latest Advancements

open access: yesEnergies, 2022
Metal additive manufacturing (AM) has been growing remarkably in the past few years. Thanks to the advantages of unmatched flexibility and zero material waste, this clean technology opens the door for new design solutions with greater material efficiency,
Ahmed Selema, M. Ibrahim, P. Sergeant
semanticscholar   +1 more source

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

The Bearing Faults Detection Methods for Electrical Machines—The State of the Art

open access: yesEnergies, 2022
Electrical machines are prone to faults and failures and demand incessant monitoring for their confined and reliable operations. A failure in electrical machines may cause unexpected interruptions and require a timely inspection of abnormal conditions in
Muhammad Amir Khan   +4 more
semanticscholar   +1 more source

Electricity and Electrical Machines [PDF]

open access: yesNature, 1958
Electrical Engineering (General) Electrical Circuits—Instruments and Measurements—Electric and Magnetic Fields—Conductors—Insulating and Magnetic Materials—Electronic Tubes. By A. T. Dover, Dr. F. T. Chapman, Prof. F. Brailsford and Harley Carter. (Electrical Engineering Series.) Pp. ix + 489. (London and New York: Longmans, Green and Co., Ltd., 1956.)
D. A. Jones, G. W. Carter, T. Wilson
openaire   +1 more source

Data‐driven performance metrics for neural network learning

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri   +2 more
wiley   +1 more source

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