Results 81 to 90 of about 4,403,331 (387)

Electric riveting machine [PDF]

Journal of the Franklin Institute, 1899
n ...
openaire   +1 more source

Time‐Frequency Fingerprint Analysis in SEEG Source‐Space to Identify the Epileptogenic Zone

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This case study highlights the application of seizure fingerprint analysis in the source‐space of stereo‐EEG (SEEG) data to accurately localize the epileptogenic zone (EZ) in patients with complex cortical malformations. A 25‐year‐old female with extensive bilateral perisylvian polymicrogyria (PMG) presented with intractable focal seizures ...
Yash Shashank Vakilna, Deniz Atilgan, Johnson Hampson, Chinmay Chinara, Takfarinas Medani, Richard M. Leahy, Nuria Lacuey, Samden D. Lhatoo, Sandipan Pati, John C. Mosher, Jay R. Gavvala   +10 more
wiley   +1 more source

Inductive Sensor for measuring partial discharges in electrical machines [PDF]

, 2009
The research group 'Diagnosis of Electrical Machines and Insulation Materials (DIAMAT) of the University Carlos III of Madrid, has developed an inductive sensor that can detect and measure partial discharge that are characteristic in electrical machines (
Martínez Tarifa, Juan Manuel, Robles Muñoz, Guillermo, Sanz Feito, Javier   +2 more
core   +1 more source

General Analytical Model of Magnet Average Eddy-Current Volume Losses for Comparison of Multi-phase PM Machines with Concentrated Winding [PDF]

, 2014
this paper studies magnet eddy-current losses in permanent magnet (PM) machines with concentrated winding. First of all, space harmonics of magnetomotive force (MMF) and their influence on magnet losses in electrical machines are investigated.
ASLAN, Bassel, LEGRANGER, Jerome, SEMAIL, Eric   +2 more
core   +5 more sources

Multi-stage framework for optimal incorporating of inverter based distributed generator into distribution networks

Scientific Reports
Recently, hydrogen-based distributed generators (DG) have gained significant attention for modern energy generation systems. These modem DGs are typically outfitted with power electronics converters, resulting in harmonic pollution.
Shrouk A. Hamza, Mariem Y. Yousef, A. A. Ali, Said M. El Masry, Magdi A. Mosa   +4 more
doaj   +1 more source

Sizing Methodology for Hybrid Solar photovoltaic/Hydrogen System using Deterministic Balance Method (DBM)-Case Study in Egypt

Jurnal Nasional Teknik Elektro, 2020
A technical analysis based on modeling, simulation, optimization and verification was conducted for the design of an off-grid hybrid solar PV/hydrogen system.
Alaa Emad El Din Selim, Mohamed El-Shimy, Ghada Amer   +2 more
doaj   +1 more source

Transient System Model for the Analysis of Structural Dynamic Interactions of Electric Drivetrains

Energies, 2021
In electric drivetrains, the traction machines are often coupled to a gear transmission. For the noise and vibration analysis of such systems, linearised system models in the frequency domain are commonly used.
Marius Franck, Jan Philipp Rickwärtz, Daniel Butterweck, Martin Nell, Kay Hameyer   +4 more
doaj   +1 more source

Towards Fully Additively-Manufactured Permanent Magnet Synchronous Machines: Opportunities and Challenges [PDF]

, 2019
With the growing interest in electrification and as hybrid and pure electric powertrains are adopted in more applications, electrical machine design is facing challenges in terms of meeting very demanding performance metrics for example high specific ...
EL-Refaie, Ayman M., Wu, Fan
core   +1 more source

Misalignment analysis of WPT level 3/Z2-class of CirPT with DDPR and CirPR for EVs stationary charging

Scientific Reports
Future inductive charging ports must possess the capability to charge any electric vehicle (EV), irrespective of the specific coil architecture it is equipped with.
Mahmoud M. Elymany, Ahmed A. S. Mohamed, Ahmed A. Shaier, Mohamed A. Enany, Hamid Metwally, Sameh I. Selem   +5 more
doaj   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source