Ebrahim Balouji

Researcher at Combustion and Propulsion Systems
Image of Ebrahim Balouji

Showing 11 publications

2022

Classification of Partial Discharges Originating from Multi-level PWM Using Machine Learning

Ebrahim Balouji, Thomas Hammarström, Tomas McKelvey
IEEE Transactions on Dielectrics and Electrical Insulation. Vol. In Press
Journal article
2022

Locating high-impedance faults in DC microgrid clusters using support vector machines

Navid Bayati, Ebrahim Balouji, Hamid Reza Baghaee et al
Applied Energy. Vol. 308
Journal article
2022

Deep Learning Based Predictive Compensation of Flicker, Voltage Dips, Harmonics and Interharmonics in Electric Arc Furnaces

Ebrahim Balouji, Özgül Salor, Tomas McKelvey
IEEE Transactions on Industry Applications. Vol. In Press
Journal article
2021

Predictive Compensation of EAF Flicker, Voltage Dips Harmonics and Interharmonics Using Deep Learning

Ebrahim Balouji, Özgül Salor, Tomas McKelvey
Conference Record - IAS Annual Meeting (IEEE Industry Applications Society). Vol. 2021-October
Paper in proceeding
2020

A deep learning approach to earth fault classification and source localization

Ebrahim Balouji, Karl Bäckström, Petri Hovila
IEEE PES Innovative Smart Grid Technologies Conference Europe. Vol. 2020-October, p. 635-639
Paper in proceeding
2020

Deep-Learning-Based Harmonics and Interharmonics Predetection Designed for Compensating Significantly Time-Varying EAF Currents

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey et al
IEEE Transactions on Industry Applications. Vol. 56 (3), p. 3250-3260
Journal article
2019

Partial discharge classification in power electronics applications using machine learning

Ebrahim Balouji, Thomas Hammarström, Tomas McKelvey
GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings
Paper in proceeding
2019

Deep Learning Based Harmonics and Interharmonics Pre-Detection Designed for Compensating Significantly Time-varying EAF Currents

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey et al
2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
Paper in proceeding
2018

A LSTM-based Deep Learning Method with Application to Voltage Dip Classification

Ebrahim Balouji, Irene Yu-Hua Gu, Math H. J. Bollen et al
2018 18TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER (ICHQP)
Paper in proceeding
2018

A Robust Transform-Domain Deep Convolutional Network for Voltage Dip Classification

Azam Bagheri, Irene Yu-Hua Gu, Math Bollen et al
IEEE Transactions on Power Delivery. Vol. 33 (6), p. 2794-2802
Journal article

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