H.A. Darwish

TL;DR: Practical considerations for recursive discrete Fourier transform (DFT) implementation in numerical relays and novel solutions directed for the elimination of error magnification are proposed and intensively tested.

TL;DR: In this paper, the authors developed and implemented a new fault diagnosis scheme for generator winding protection using artificial neural networks (ANN) which performs internal fault detection, fault type classifications and faulted phases identification.

TL;DR: In this article, the authors proposed a power differential relay scheme for line protection, where both active and reactive power detectors were used to detect high impedance internal faults and avoid maloperation for all power swings and external fault conditions.

TL;DR: In this article, an artificial neural network (ANN) based internal fault detector algorithm for generator protection is proposed, which uniquely responds to the winding earth and phase faults with remarkably high sensitivity.

TL;DR: In this article, an evaluation study of the behavior of the overcurrent and differential relays of the HVDC converter during common internal faults is presented, and the computed results are corroborated using a laboratory scaled down model in conjunction with a DSP board-based overcurrent relays.