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Ayman El-Hag
Ayman El-Hag
Electrical and Computer Engineering Department, Univeristy of Waterloo
在 uwaterloo.ca 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Fundamental and low frequency harmonic components of leakage current as a diagnostic tool to study aging of RTV and HTV silicone rubber in salt-fog
AH El-Hag, SH Jayaram, EA Cherney
IEEE Transactions on Dielectrics and Electrical insulation 10 (1), 128-136, 2003
1942003
Erosion resistance of nano-filled silicone rubber
AH El-Hag, LC Simon, SH Jayaram, EA Cherney
IEEE Transactions on Dielectrics and Electrical Insulation 13 (1), 122-128, 2006
1672006
Smart home renewable energy management system
AR Al-Ali, A El-Hag, M Bahadiri, M Harbaji, YA El Haj
Energy Procedia 12, 120-126, 2011
1202011
Wavelet transform with histogram-based threshold estimation for online partial discharge signal denoising
R Hussein, KB Shaban, AH El-Hag
IEEE transactions on instrumentation and measurement 64 (12), 3601-3614, 2015
1012015
On-line detection and measurement of partial discharge signals in a noisy environment
AM Gaouda, A El-Hag, TK Abdel-Galil, MMA Salama, R Bartnikas
IEEE Transactions on Dielectrics and Electrical Insulation 15 (4), 1162-1173, 2008
872008
Artificial neural networks with stepwise regression for predicting transformer oil furan content
RA Ghunem, K Assaleh, AH El-Hag
IEEE Transactions on Dielectrics and Electrical Insulation 19 (2), 414-420, 2012
752012
Classification of common partial discharge types in oil-paper insulation system using acoustic signals
M Harbaji, K Shaban, A El-Hag
IEEE Transactions on Dielectrics and Electrical Insulation 22 (3), 1674-1683, 2015
722015
Feature selection for effective health index diagnoses of power transformers
K Benhmed, A Mooman, A Younes, K Shaban, A El-Hag
IEEE Transactions on Power Delivery 33 (6), 3223-3226, 2017
712017
A cascade of artificial neural networks to predict transformers oil parameters
K Shaban, A El-Hag, A Matveev
IEEE Transactions on Dielectrics and Electrical Insulation 16 (2), 516-523, 2009
702009
Application of machine learning in transformer health index prediction
A Alqudsi, A El-Hag
Energies 12 (14), 2694, 2019
692019
RTV silicone rubber pre-coated ceramic insulators for transmission lines
EA Cherney, A El-Hag, S Li, RS Gorur, L Meyer, I Ramirez, M Marzinotto, ...
IEEE Transactions on Dielectrics and Electrical Insulation 20 (1), 237-244, 2013
682013
De-noising of partial discharge signal using eigen-decomposition technique
TK Abdel-Galil, AH El-Hag, AM Gaouda, MMA Salama, R Bartnikas
IEEE Transactions on Dielectrics and Electrical Insulation 15 (6), 1657-1662, 2008
622008
A neural network based method for leakage current prediction of polymeric insulators
AN Jahromi, AH El-Hag, SH Jayaram, EA Cherney, M Sanaye-Pasand, ...
IEEE Transactions on Power Delivery 21 (1), 506-507, 2005
622005
Detection and classification of defects in ceramic insulators using RF antenna
S Anjum, S Jayaram, A El-Hag, AN Jahromi
IEEE Transactions on Dielectrics and Electrical Insulation 24 (1), 183-190, 2017
602017
Inactivation of naturally grown microorganisms in orange juice using pulsed electric fields
AH El-Hag, SH Jayaram, MW Griffiths
IEEE transactions on plasma science 34 (4), 1412-1415, 2006
592006
A novel bias detection technique for partial discharge localization in oil insulation system
WMF Al-Masri, MF Abdel-Hafez, AH El-Hag
IEEE Transactions on Instrumentation and Measurement 65 (2), 448-457, 2015
572015
Leakage current characterization for estimating the conditions of non-ceramic insulators’ surfaces
AH El-Hag
Electric Power Systems Research 77 (3-4), 379-384, 2007
482007
Comparison between silicone rubber containing micro-and nano-size silica fillers [insulating material applications]
AH El-Hag, SH Jayaram, EA Cherney
The 17th Annual Meeting of the IEEE Lasers and Electro-Optics Society, 2004 …, 2004
472004
Evaluation of ZigBee Wireless Sensor Networks Under High Power Disturbances
FM Sallabi, AM Gaouda, AH El-Hag, MMA Salama
Power Delivery, IEEE Transactions, 2014
452014
Classification of common discharges in outdoor insulation using acoustic signals and artificial neural network
S Polisetty, A El‐Hag, S Jayram
High Voltage 4 (4), 333-338, 2019
432019
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