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Abstract Power‑electronics‑based devices inject conducted impulsive disturbances into low‑voltage grids, which can interfere with grid operation, connected devices, and power line communications. This work presents a methodology for the automated measurement and characterization of unwanted high‑amplitude impulsive disturbances. First, the paper proposes a set of algorithms for the automatic acquisition of voltage measurements of conducted emissions. The algorithms controls a commercial oscilloscope, processes the raw voltage data, detects high‑amplitude impulsive disturbances, and stores those sporadic emissions to optimize storage resources. These algorithms provide high reliability and a modular architecture to enable the integration of additional analytical functionalities. The second step of the methodology involves the automatic characterization of the stored impulsive waveforms, by delimiting the waveform, extracting its main features with a set of representative parameters, and applying a search algorithm to detect similar waveforms. The search algorithm relies on cross‑correlation to identify similarities and performs a statistical analysis to quantify variability. In addition, the statistical analysis assesses a benchmark-waveform and extracts the temporal and magnitude features. The paper presents results of some impulsive waveforms to demonstrate the effectiveness of the proposed methodology. Key words: Electromagnetic compatibility, power-quality, supraharmonic disturbances.
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