Series arc-fault detection apparatus and method
AssigneeElectronics and Telecommunications Research Institute
InventorsWon Kyu CHOI, Se Han KIM
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Abstract
The present invention relates to a series arc-fault detection apparatus and method, and the series arc-fault detection apparatus according to some embodiments of the present invention includes a signal processing unit configured to generate signal data for estimation by a deep learning inference model by signal-processing a current signal detected by a current transformer and an inference unit configured to estimate whether an arc-fault occurs based on the deep learning inference model through the signal data generated by the signal processing unit.
Claims18
A series arc-fault detection apparatus comprising:
- a signal processing unit configured to generate signal data for estimation by a deep learning inference model by signal-processing a current signal detected by a current transformer;
- and
- an inference unit configured to estimate whether an arc-fault occurs based on the deep learning inference model through the signal data generated by the signal processing unit.
A series arc-fault detection method comprising:
- preprocessing, by an inference unit, signal data of a signal processing unit into time series data in a time domain and data in a frequency domain;
- extracting, by the inference unit, each of signal features in the time domain and signal features in the frequency domain from the time series data in the time domain and the data in the frequency domain based on a deep learning model;
- and
- determining, by the inference unit, whether a current signal is a normal signal or an arc-fault signal by fusing the signal features in the time domain and the signal features in the frequency domain.
A series arc-fault detection method comprising:
- generating, by a signal processing unit, signal data for estimation by a deep learning inference model by signal-processing a current signal detected by a current transformer;
- and
- estimating, by an inference unit, whether an arc-fault occurs based on the deep learning inference model through the signal data generated by the signal processing unit.
Dependencies are inferred from the claim text.