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- W4296752566 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." @default.
- W4296752566 created "2022-09-23" @default.
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- W4296752566 date "2022-09-30" @default.
- W4296752566 modified "2023-09-25" @default.
- W4296752566 title "Development of AC arc Detection Algorithm using Residual Information of Poly-nominal Regression Model" @default.
- W4296752566 doi "https://doi.org/10.5370/kieep.2022.71.3.196" @default.
- W4296752566 hasPublicationYear "2022" @default.
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