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The Transactions P of the Korean Institute of Electrical Engineers

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleTrans. P of KIEE
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    Korea Citation Index(KCI)

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  3. 2022-09(Vol.71P No.03)
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Title Development of AC arc Detection Algorithm using Residual Information of Poly-nominal Regression Model
Authors 지평식(Pyeong-Shik Ji)
DOI https://doi.org/10.5370/KIEEP.2022.71.3.196
Page pp.196-201
ISSN 1229-800X
Keywords Arc detection; Residual information; polynominal regression; Series arc; detection algorithm
Abstract In this paper, an AC series arc detection algorithm using residual information of a polynomial regression model was developed. The developed algorithm calculates the multiple regression model equation using the given data, and then determines whether there is an arc based on the residual information between the given data and the estimated values calculated by the multiple regression model.
The calculation speed was improved by resampling the acquired data to calculate the multiple regression model equation. In order to verify the validity of the proposed method, the mean square error criterion for data with an absolute residual of 0.14 or more was set to 0.1, and as a result of the experiment, the arc and normal data detection performance was 100%, thus verifying the validity of the proposed method.