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benyamin parang
benyamin parang
MS of Electrical Engineering, Shiraz University
Verified email at shirazu.ac.ir
Title
Cited by
Cited by
Year
Integration of accelerated deep neural network into power transformer differential protection
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi
IEEE Transactions on Industrial Informatics 16 (2), 865-876, 2019
1012019
Designing a composite deep learning based differential protection scheme of power transformers
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi
Applied Soft Computing 87, 105975, 2020
552020
Real-time bearing fault diagnosis of induction motors with accelerated deep learning approach
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi
2019 10th international power electronics, drive systems and technologies …, 2019
362019
Power transformers internal fault diagnosis based on deep convolutional neural networks
M Afrasiabi, S Afrasiabi, B Parang, M Mohammadi
Journal of Intelligent & Fuzzy Systems 37 (1), 1165-1179, 2019
332019
Detection and classification of multiple power quality disturbances based on temporal deep learning
M Mohammadi, M Afrasiabi, S Afrasiabi, B Parang
2019 IEEE International Conference on Environment and Electrical Engineering …, 2019
232019
Wind turbine fault diagnosis with generative-temporal convolutional neural network
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi, MM Arefi, M Rastegar
2019 IEEE International Conference on Environment and Electrical Engineering …, 2019
222019
Fault localisation and diagnosis in transmission networks based on robust deep Gabor convolutional neural network and PMU measurements
S Afrasiabi, M Afrasiabi, M Mohammadi, B Parang
IET Generation, Transmission & Distribution 14 (26), 6484-6492, 2020
212020
Fast GRNN-based method for distinguishing inrush currents in power transformers
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi, H Samet, T Dragicevic
IEEE Transactions on Industrial Electronics 69 (8), 8501-8512, 2021
202021
Modulated Gabor filter based deep convolutional network for electrical motor bearing fault classification and diagnosis
S Afrasiabi, M Mohammadi, M Afrasiabi, B Parang
IET science, measurement & technology 15 (2), 154-162, 2021
182021
Ensemble kalman filter based dynamic state estimation of PMSG-based wind turbine
S Afrasiabi, M Afrasiabi, M Rastegar, M Mohammadi, B Parang, ...
2019 IEEE Texas Power and Energy Conference (TPEC), 1-4, 2019
182019
Two-stage deep learning-based wind turbine condition monitoring using SCADA data
S Afrasiabi, M Afrasiabi, B Parang, M Mohammadi, S Kahourzade, ...
2020 IEEE International Conference on Power Electronics, Drives and Energy …, 2020
152020
Residualisation‐based model order reduction in power networks with penetration of photovoltaic resources
B Parang, M Mohammadi, MM Arefi
IET Generation, Transmission & Distribution 13 (13), 2619-2626, 2019
102019
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