Examinando por Autor "Villa, Luisa F."

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    Ítem
    Fuzzy Inference System for Modelling Failure Modes in a Ropeway for Massive Transportation
    (ATLANTIS PRESS, 2015-01-01) Villa, Luisa F.; Quintero Montoya, O. L.; Castaneda, L.; Meja, G.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Estudios en Mantenimiento (GEMI)
    This work uses Fuzzy Inference Systems to model the failure modes of the Metrocable (ropeway massive transportation system in Medellin-Colombia) and to this aim, handle the concept of Condition Based Maintenance (CBM) for the automation of maintenance routine. Maintenance procedures in this massive transportation ropeway system have been designed from manufacturer and improved by expert knowledge trough years of operation, so they can be modeled by fuzzy models. The following work is part of the project ``Diagnostic system of the interface grip-cable of the Metrocable'', developed between the entities COLCIENCIAS, Metro de Medellin and Universidad EAFIT.
  • No hay miniatura disponible
    Ítem
    Fuzzy Inference System for Modelling Failure Modes in a Ropeway for Massive Transportation
    (ATLANTIS PRESS, 2015-01-01) Villa, Luisa F.; Quintero Montoya, O. L.; Castaneda, L.; Meja, G.; Villa, Luisa F.; Quintero Montoya, O. L.; Castaneda, L.; Meja, G.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
    This work uses Fuzzy Inference Systems to model the failure modes of the Metrocable (ropeway massive transportation system in Medellin-Colombia) and to this aim, handle the concept of Condition Based Maintenance (CBM) for the automation of maintenance routine. Maintenance procedures in this massive transportation ropeway system have been designed from manufacturer and improved by expert knowledge trough years of operation, so they can be modeled by fuzzy models. The following work is part of the project ``Diagnostic system of the interface grip-cable of the Metrocable'', developed between the entities COLCIENCIAS, Metro de Medellin and Universidad EAFIT.
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    Ítem
    A simple but efficient voice activity detection algorithm through Hilbert transform and dynamic threshold for speech pathologies
    (IOP Publishing, 2016) Ortiz P., D.; Villa, Luisa F.; Salazar, Carlos; Quintero, O.L.; Ortiz P., D.; Villa, Luisa F.; Salazar, Carlos; Quintero, O.L.; Mathematical Modeling Research Group, GRIMMAT, School of Sciences, Universidad EAFIT, Medellín, Colombia; Universidad EAFIT. Escuela de Ciencias; dpuerta1@eafit.edu.co; oquinte1@eafit.edu.co; Modelado Matemático
    A simple but efficient voice activity detector based on the Hilbert transform and a dynamic threshold is presented to be used on the pre-processing of audio signals -- The algorithm to define the dynamic threshold is a modification of a convex combination found in literature -- This scheme allows the detection of prosodic and silence segments on a speech in presence of non-ideal conditions like a spectral overlapped noise -- The present work shows preliminary results over a database built with some political speech -- The tests were performed adding artificial noise to natural noises over the audio signals, and some algorithms are compared -- Results will be extrapolated to the field of adaptive filtering on monophonic signals and the analysis of speech pathologies on futures works