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- W3081566312 abstract "Generation of harmonics in the electrical power systems is a serious challenge to power utility companies. The system is responsible for the energy exchange through voltages and currents. These two parameters must be constrained properly in order to minimize serious deviation from nominal values to ensure power quality (PQ). Harmonics cause voltage and current waveforms to lose their sinusoidal form as the waveforms become a sum of various sine-waves of different phase and magnitude. We are proposing a neural network to monitor the presence of harmonics. Once the neural network is trained it is used to detect current/voltage harmonics in a single or multiphase power system. The proposed method can be integrated into a power quality instrument, can be used as a standalone system or as a hand held instrument." @default.
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- W3081566312 date "2020-08-01" @default.
- W3081566312 modified "2023-09-27" @default.
- W3081566312 title "Harmonic current and voltage monitoring using artificial neural network" @default.
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- W3081566312 doi "https://doi.org/10.1109/icabcd49160.2020.9183805" @default.
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