ADMIT Measurement Campaign - Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency
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Title: Voltage and Current Waveforms Dataset with 500 kHz Sampling Frequency Abstract:This dataset contains time-series data set of voltage waveforms and two current waveforms, sampled at a frequency of 500 kHz over a time duration of 0.04 seconds. The data is ideal for analyzing electrical signal characteristics, waveform processing, and modeling power systems. Description:The dataset comprises three synchronized waveforms: Voltage waveform: A single-channel time-series signal representing the voltage. Current waveforms: Two single-channel time-series signals representing the currents. The data is captured with high precision, ensuring accurate representation of the waveform dynamics. The sampling rate of 500 kHz allows for detailed analysis of high-frequency components. The total duration of each waveform is 0.04 seconds, providing sufficient resolution for transient and steady-state analysis. The data set waveforms are obtained from measurement campaign activity conducted in 2024 for ADMIT Project. File Format:The dataset is stored in MAT format. Each file includes: Voltage (in kV) 5x20000 Current 1 (in A) 5x20000 Current 2 (in A) 5x20000 the time array can be obtained by using this command: fs = 500e3; %Sampling frequency in HzTa = 0.04; %Time duration in secondstime = 0:1/fs:Ta-1/fs; %Time array Applications:This dataset can be used for various purposes, including but not limited to: Signal processing and feature extraction Electrical power system modeling Machine learning and classification tasks Benchmarking algorithms for transient detection Acknowledgments:The project 22NRM06 ADMIT has received funding fromthe European Partnership on Metrology, co-financed by theEuropean Union’s Horizon Europe Research and InnovationProgramme and by the Participating States. Keywords:Voltage waveform, current waveform, electrical signals, time-series data, high-frequency sampling, transient analysis, signal processing Licensing:Creative Commons Attribution 4.0 International



