Navegação DEP45 - Artículos de revista por autor "Duque Pérez, Óscar"

A Data-Driven Forecasting Strategy to Predict Continuous Hourly Energy Demand in Smart Buildings

Mariano-Hernández, Deyslen; Hernández Callejo, Luis

; Solis, Martín; Zorita Lamadrid, Ángel Luis

; Duque Pérez, Óscar

; González-Morales, Luis; Santos García, Félix (2021-08)

A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis

Mariano-Hernández, Deyslen; Hernández Callejo, Luis

; Zorita Lamadrid, Ángel Luis

; Duque Pérez, Óscar

; Santos García, Félix (2021-01)

A study of the effects of time aggregation and overlapping within the framework of IEC standards for the measurement of harmonics and interharmonics

Arranz Gimón, Ángel Eugenio

; Zorita Lamadrid, Ángel Luis

; Moríñigo Sotelo, Daniel

; Duque Pérez, Óscar

(2019)

Accurate identification and characterization of transient phenomena using wavelet transform and mathematical morphology

Guillén García, Emmanuel; Morales Velazquez, Luis

; Zorita Lamadrid, Ángel Luis

; Duque Pérez, Óscar

; Osornio Ríos, Roque Alfredo; Romero Troncoso, René de Jesús (2019-09)

Advances in classifier evaluation: novel insights for an electric data-driven motor diagnosis

Martín Diaz, Ignacio

; Moríñigo Sotelo, Daniel

; Duque Pérez, Óscar

; Romero Troncoso, René de Jesús (2016-10)

An experimental comparative evaluation of Machine Learning techniques for motor fault diagnosis under various operating conditions

Martín Diaz, Ignacio

; Moríñigo Sotelo, Daniel

; Duque Pérez, Óscar

; Romero Troncoso, René de Jesús (2018-02)

Analysis of the use of the Hanning Window for the measurement of interharmonic distortion caused by close tones in IEC standard framework

Arranz Gimón, Ángel Eugenio

; Zorita Lamadrid, Ángel Luis

; Moríñigo Sotelo, Daniel

; Duque Pérez, Óscar

(2022)

Analysis of various inverters feeding induction motors with incipient rotor fault using high-resolution spectral analysis

Martín Diaz, Ignacio

; Moríñigo Sotelo, Daniel

; Duque Pérez, Óscar

; Arredondo Delgado, P. A.; Camarena Martínez, D.; Romero Troncoso, René de Jesús (2017-11)

Condition monitoring of bearing faults using the stator current and shrinkage methods

Duque Pérez, Óscar

; Pozo Gallego, Carlos del; Moríñigo Sotelo, Daniel

; Fontes Godoy, Wagner (2019)

Conversion of a network section with loads, storage systems and renewable generation sources into a smart microgrid

Izquierdo Monge, Óscar; Peña Carro, Paula; Villafafila Robles, Roberto; Duque Pérez, Óscar

; Zorita Lamadrid, Ángel Luis

; Hernández Callejo, Luis

(2021)

Detection and quantification of bar breakage harmonics evolutions in inverter-fed motors through the dragon transform

Fernández Cavero, Vanessa; Pons Llinares, Joan; Duque Pérez, Óscar

; Moríñigo Sotelo, Daniel

(2021-02)

Early fault detection in induction motors using AdaBoost with imbalanced small data and optimized sampling

Martín Diaz, Ignacio

; Moríñigo Sotelo, Daniel

; Duque Pérez, Óscar

; Romero Troncoso, René de Jesús (2017-05)

Estimation of bearing fault severity in line-connected and inverter-fed three-phase induction motors

Fontes Godoy, Wagner; Moríñigo Sotelo, Daniel

; Duque Pérez, Óscar

; Nunes da Silva, Ivan; Goedtel, Alessandro; Palácios, Rodrigo Henrique Cunha (2020)

Fault detection of wind turbine induction generators through current signals and various signal processing techniques

Merizalde Zamora, Yury Humberto; Hernández Callejo, Luis

; Duque Pérez, Óscar

; López Meraz, Raúl Alberto (2020)

Harmonic distortion and hosting capacity in electrical distribution systems with high photovoltaic penetration: The impact of electric vehicles

Dávila Sacoto, Miguel; González, Luis Gerardo; Hernández Callejo, Luis

; Duque Pérez, Óscar

; Zorita Lamadrid, Ángel Luis

; Alonso Gómez, Víctor

; Espinoza, Juan L. (2023)

Hybrid algorithmic approach oriented to incipient rotor fault diagnosis on induction motors

Martín Diaz, Ignacio

; Moríñigo Sotelo, Daniel

; Duque Pérez, Óscar

; Romero Troncoso, René de Jesús; Osornio Ríos, Roque Alfredo (2018)

Identification of the electrical load by C-means from non-intrusive monitoring of electrical signals in non-residential buildings

Guillén García, Emmanuel; Morales Velazquez, Luis

; Zorita Lamadrid, Ángel Luis

; Duque Pérez, Óscar

; Osornio Ríos, Roque Alfredo; Romero Troncoso, René de Jesús (2019)

Methodology for Flicker Estimation and Its Correlation to Environmental Factors in Photovoltaic Generation

Elvira Ortiz, David Alejandro; Moríñigo Sotelo, Daniel

; Duque Pérez, Óscar

; Jaen Cuellar, Arturo Yosimar; Osornio Ríos, Roque Alfredo; Romero Troncoso, René de Jesús (2018-04-23)

Mutual information and meta-heuristic classifiers applied to bearing fault diagnosis in three-phase induction motors

Bazán, Gustavo Henrique; Goedtel, Alessandro; Castoldi, Marcelo Favoretto; Godoy, Wagner Fontes; Duque Pérez, Óscar

; Moríñigo Sotelo, Daniel

(2020)

Power consumption analysis of electrical installations at healthcare facility

Guillen Garcia, Emmanuel; Zorita Lamadrid, Ángel Luis

; Duque Pérez, Óscar

; Morales Velazquez, Luis

; Osornio Ríos, Roque Alfredo; Romero Troncoso, René de Jesús (2017)

Navegação DEP45 - Artículos de revista por autor "Duque Pérez, Óscar"

A Data-Driven Forecasting Strategy to Predict Continuous Hourly Energy Demand in Smart Buildings ﻿

A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis ﻿

A study of the effects of time aggregation and overlapping within the framework of IEC standards for the measurement of harmonics and interharmonics ﻿

Accurate identification and characterization of transient phenomena using wavelet transform and mathematical morphology ﻿

Advances in classifier evaluation: novel insights for an electric data-driven motor diagnosis ﻿

An experimental comparative evaluation of Machine Learning techniques for motor fault diagnosis under various operating conditions ﻿

Analysis of the use of the Hanning Window for the measurement of interharmonic distortion caused by close tones in IEC standard framework ﻿

Analysis of various inverters feeding induction motors with incipient rotor fault using high-resolution spectral analysis ﻿

Condition monitoring of bearing faults using the stator current and shrinkage methods ﻿

Conversion of a network section with loads, storage systems and renewable generation sources into a smart microgrid ﻿

Detection and quantification of bar breakage harmonics evolutions in inverter-fed motors through the dragon transform ﻿

Early fault detection in induction motors using AdaBoost with imbalanced small data and optimized sampling ﻿

Estimation of bearing fault severity in line-connected and inverter-fed three-phase induction motors ﻿

Fault detection of wind turbine induction generators through current signals and various signal processing techniques ﻿

Harmonic distortion and hosting capacity in electrical distribution systems with high photovoltaic penetration: The impact of electric vehicles ﻿

Hybrid algorithmic approach oriented to incipient rotor fault diagnosis on induction motors ﻿

Identification of the electrical load by C-means from non-intrusive monitoring of electrical signals in non-residential buildings ﻿

Methodology for Flicker Estimation and Its Correlation to Environmental Factors in Photovoltaic Generation ﻿

Mutual information and meta-heuristic classifiers applied to bearing fault diagnosis in three-phase induction motors ﻿

Power consumption analysis of electrical installations at healthcare facility ﻿

A Data-Driven Forecasting Strategy to Predict Continuous Hourly Energy Demand in Smart Buildings

A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis

A study of the effects of time aggregation and overlapping within the framework of IEC standards for the measurement of harmonics and interharmonics

Accurate identification and characterization of transient phenomena using wavelet transform and mathematical morphology

Advances in classifier evaluation: novel insights for an electric data-driven motor diagnosis

An experimental comparative evaluation of Machine Learning techniques for motor fault diagnosis under various operating conditions

Analysis of the use of the Hanning Window for the measurement of interharmonic distortion caused by close tones in IEC standard framework

Analysis of various inverters feeding induction motors with incipient rotor fault using high-resolution spectral analysis

Condition monitoring of bearing faults using the stator current and shrinkage methods

Conversion of a network section with loads, storage systems and renewable generation sources into a smart microgrid

Detection and quantification of bar breakage harmonics evolutions in inverter-fed motors through the dragon transform

Early fault detection in induction motors using AdaBoost with imbalanced small data and optimized sampling

Estimation of bearing fault severity in line-connected and inverter-fed three-phase induction motors

Fault detection of wind turbine induction generators through current signals and various signal processing techniques

Harmonic distortion and hosting capacity in electrical distribution systems with high photovoltaic penetration: The impact of electric vehicles

Hybrid algorithmic approach oriented to incipient rotor fault diagnosis on induction motors

Identification of the electrical load by C-means from non-intrusive monitoring of electrical signals in non-residential buildings

Methodology for Flicker Estimation and Its Correlation to Environmental Factors in Photovoltaic Generation

Mutual information and meta-heuristic classifiers applied to bearing fault diagnosis in three-phase induction motors

Power consumption analysis of electrical installations at healthcare facility