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 | 194 | 2003 |
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 | 167 | 2006 |
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 | 120 | 2011 |
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 | 101 | 2015 |
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 | 87 | 2008 |
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 | 75 | 2012 |
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 | 72 | 2015 |
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 | 71 | 2017 |
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 | 70 | 2009 |
Application of machine learning in transformer health index prediction A Alqudsi, A El-Hag Energies 12 (14), 2694, 2019 | 69 | 2019 |
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 | 68 | 2013 |
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 | 62 | 2008 |
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 | 62 | 2005 |
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 | 60 | 2017 |
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 | 59 | 2006 |
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 | 57 | 2015 |
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 | 48 | 2007 |
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 | 47 | 2004 |
Evaluation of ZigBee Wireless Sensor Networks Under High Power Disturbances FM Sallabi, AM Gaouda, AH El-Hag, MMA Salama Power Delivery, IEEE Transactions, 2014 | 45 | 2014 |
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 | 43 | 2019 |