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New 12kW three-phase 18-pulse high power factor AC-DC converter with regulated output voltage for rectifier units
(1999-12-01)
This work presents a new high power factor three-phase rectifier based on a Y-connected differential autotransformer with reduced kVA and 18-pulse input current followed by three DC-DC boost converters. The topology provides ...
New 12kW three-phase 18-pulse high power factor AC-DC converter with regulated output voltage for rectifier units
(1999-12-01)
This work presents a new high power factor three-phase rectifier based on a Y-connected differential autotransformer with reduced kVA and 18-pulse input current followed by three DC-DC boost converters. The topology provides ...
Família de retificadores multipulsos com topologias diferenciais de transformadores
(2011-02-01)
Multipulse rectifier topologies based on auto-connections or differential connections, are more and more applied as interface stages between the mains and power converters. These topologies are becoming increasingly ...
Família de retificadores multipulsos com topologias diferenciais de transformadores
(2011-02-01)
Multipulse rectifier topologies based on auto-connections or differential connections, are more and more applied as interface stages between the mains and power converters. These topologies are becoming increasingly ...
Revealing brain network dynamics during the emotional state of suspense using topological data analysis
(Universidad Nacional de ColombiaBogotá - Ciencias - Maestría en Ciencias - Matemática AplicadaDepartamento de MatemáticasFacultad de CienciasBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá, 2021)
Suspense is an affective state ubiquitous in human life, from art to quotidian events. However, little is known about the behavior of large-scale networks during suspenseful experiences. To address this question, we examined ...
An information theoretic learning framework based on Renyi’s α entropy for brain effective connectivity estimation
(Universidad Tecnológica de PereiraFacultad de IngenieríasPereiraDoctorado en Ingeniería, 2022)
A textural deep neural network architecture for mechanical failure analysis
(Bogotá - Ingeniería - Doctorado en Ingeniería - Ingeniería EléctricaUniversidad Nacional de Colombia - Sede Bogotá, 2020-06-21)
Nowadays, many classification problems are approached with deep learning architectures,
and the results are outstanding compared to the ones obtained with traditional computer
vision approaches. However, when it comes ...