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2019 SOUTHERN AFRICAN UNIVERSITIES POWER ENGINEERING CONFERENCE/ROBOTICS AND MECHATRONICS/PATTERN RECOGNITION ASSOCIATION OF SOUTH AFRICA (SAUPEC/ROBMECH/PRASA) (2019)
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Fault location in a series compensated transmission line based on wavelet packet decomposition and support vector regression
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DWT-based extraction of residual currents throughout unearthed MV networks for detecting high-impedance faults due to leaning trees
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AR Sedighi et al.
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