2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2017
DOI: 10.1109/isgt-la.2017.8126750
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Noise reduction for faults in HVDC lines using mathematical moφhology

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Cited by 2 publications
(2 citation statements)
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“…Mathematical morphology is a promising approach to highlight the features of the wavefronts involved in the estimation of fault location and classification. Mathematical morphology involves little computational efforts and smaller data windows compared to wavelet transform [93][94][95][96].…”
Section: Morphological Gradient Based Fault Estimation In Multi-termimentioning
confidence: 99%
“…Mathematical morphology is a promising approach to highlight the features of the wavefronts involved in the estimation of fault location and classification. Mathematical morphology involves little computational efforts and smaller data windows compared to wavelet transform [93][94][95][96].…”
Section: Morphological Gradient Based Fault Estimation In Multi-termimentioning
confidence: 99%
“…Os métodos de evidenciamento das frentes de onda nos terminais monitorados baseado em morfologia matemática apresentam bom desempenho frente às diversas condições de falta, entretanto, a precisão e robustez desses métodos decaem a medida que os níveis de ruído aumentam. Assim, a fim de melhorar a precisão e robustez dos métodos de localização de faltas baseado em ondas viajantes, os Filtros de Redução de Ruídos (FRR's) devem ser integrados ao sistema de localização de faltas [87].…”
Section: Introductionunclassified