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Standard Dataset
Low voltage DC series arc fault
- Citation Author(s):
- Submitted by:
- Yufei Mao
- Last updated:
- Fri, 03/07/2025 - 10:06
- DOI:
- 10.21227/kzr1-1w26
- Data Format:
- Research Article Link:
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Abstract
This dataset is collected to investigate detection algorithms for DC series arc faults on resource constrained devices. The data is current signal collected from test-bench build to simulate arc fault under various conditions according to the standard UL1699B. Different condition includes the power mode regulated by the elctronic load in the system for the simulation of different system dynamics under topology series and parallel.
The code attached is used in the comparative study for data evaluation with visulisation of the current signal and their representative FFT signal. Examples of detection algorithms, including a conventional method with threshold, SVM and CNN, are listed for cross-dataset validation and algorithm robustness evaluation.
The file includes four datasets arranged for detection algorithm, including parallel basic, parallel load, series basic and series load.