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• W2558091148 abstract "Arc faults pose significant reliability and safety issues in today's photovoltaic (PV) systems. This paper presents an effective method based on wavelet transform and support vector machines (SVM) for detection of arc faults in DC PV systems. Because of its advantages in time-frequency signal processing, wavelet transform is applied to extract the characteristic features from system voltage/current signals. SVM is then used to identify arc faults. The performance of the proposed technique is compared with traditional Fourier transform based approaches." @default.
• W2558091148 created "2016-12-08" @default.
• W2558091148 creator A5058391979 @default.
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• W2558091148 date "2016-06-01" @default.
• W2558091148 modified "2023-09-29" @default.
• W2558091148 title "Arc fault and flash detection in photovoltaic systems using wavelet transform and support vector machines" @default.
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• W2558091148 doi "https://doi.org/10.1109/pvsc.2016.7750271" @default.
• W2558091148 hasPublicationYear "2016" @default.
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