Sub-harmonics detection and identification using higher order statistics

A large effort had been made for improving the quality of electric power in the last years. More often, the studies concern over methods and techniques to enhance monitoring systems with efficient fault detection and identification. This paper proposes a method based on higher order statistics for sub-harmonic's detection and identification. Simulation results shown the accuracy and capability of the proposed technique, which furnishes a reasonable performance.

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