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Inrush current has been well-studied in transformers using different methods to diagnose internal faults. In this paper, a new methodology is proposed using experimental data for obtaining a time-model based on inrush currents. The main contribution of this paper consists of providing a model that accurately reproduces the inrush and steady state currents of single-phase transformers, offering the...
Power quality (PQ) monitoring has attracted the interest of many researchers around the world. PQ disturbances (PQDs) such as sags, swells, interruptions, harmonics, notching, spikes, and oscillatory transients, among others, have to be detected and classified in order to apply a proper solution. For their detection and classification, many methodologies in literature have been proposed, where a signal...
Monitoring of voltage variations is a demanding issue for academic and industrial fields due mainly to their negative impact on equipment. In this work, a methodology based on adaptive filter using the least mean squares algorithm for tracking of voltage variations and a fuzzy logic system for automatic classification are proposed. The proposal consists of three stages: 1) denoising through a lowpass...
Due to the negative impact on the equipment, monitoring of electrical disturbances has become a topic of interest for many researches around the world. In this work, a methodology for automatic classification of power quality disturbances (PQD) is proposed. It consists of three stages: first, the empirical mode decomposition for signal processing is applied; second, the entropy and energy are computed...
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