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ORCIDJesus Adolfo Carino-Corrales
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- affiliation: Polytechnic University of Catalonia, Barcelona, Spain
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2010 – 2019
- 2019
[j6]Josep M. Cirera
, Jesus A. Carino, Daniel Zurita, Juan Antonio Ortega Redondo:
Data Analytics for Performance Evaluation Under Uncertainties Applied to an Industrial Refrigeration Plant. IEEE Access 7: 64127-64135 (2019)- [c11]Josep M. Cirera, Jesus A. Carino, Daniel Zurita, Juan A. Ortega:
Semisupervised refrigeration plant cooling disaggregation by means of deep neural network ensemble. ISIE 2019: 1761-1766 - 2018
- [j5]Jesus A. Carino, Miguel Delgado Prieto, José Antonio Iglesias, Araceli Sanchis, Daniel Zurita, Marta Millán, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso:
Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery. IEEE Access 6: 49755-49766 (2018) - [j4]Daniel Zurita, Miguel Delgado Prieto, Jesus A. Carino, Juan Antonio Ortega Redondo:
Multimodal Forecasting Methodology Applied to Industrial Process Monitoring. IEEE Trans. Ind. Informatics 14(2): 494-503 (2018) - [j3]Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, Juan Jose Saucedo Dorantes, René de Jesús Romero-Troncoso, Roque Alfredo Osornio-Rios:
Thermography-Based Methodology for Multifault Diagnosis on Kinematic Chain. IEEE Trans. Ind. Informatics 14(12): 5553-5562 (2018) - [c10]Miguel Delgado Prieto, Jesus A. Carino, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, Luis Romeral, René de Jesús Romero-Troncoso:
Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical Systems. ETFA 2018: 1213-1216 - [c9]Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, Roque Alfredo Osornio-Rios, Luis Romeral Martinez, René de Jesús Romero-Troncoso:
Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems. ETFA 2018: 1359-1364 - [c8]Josep M. Cirera, Maria Quiles, Jesus A. Carino, Daniel Zurita, Juan A. Ortega:
Data-driven operation performance evaluation of multi-chiller system using self-organizing maps. ICIT 2018: 2099-2104 - [c7]Francisco Arellano-Espitia, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, René de Jesús Romero-Troncoso:
Statistical data fusion as diagnosis scheme applied to a kinematic chain. ICIT 2018: 2111-2118 - 2017
- [b1]Jesus Adolfo Carino-Corrales:
Fault detection and identification methodology under an incremental learning framework applied to industrial electromechanical systems. Polytechnic University of Catalonia, Spain, 2017 - 2016
- [j2]Daniel Zurita, Miguel Delgado Prieto, Jesus A. Carino, Juan Antonio Ortega Redondo, Guy Clerc:
Industrial Time Series Modelling by Means of the Neo-Fuzzy Neuron. IEEE Access 4: 6151-6160 (2016) - [j1]Jesus A. Carino, Miguel Delgado Prieto, Daniel Zurita, Marta Millán, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso:
Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis. IEEE Access 4: 7594-7604 (2016) - [c6]Daniel Zurita, Enric Sala, Jesus A. Carino, Miguel Delgado Prieto, Juan Antonio Ortega Redondo:
Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps. ETFA 2016: 1-8 - 2015
- [c5]Jesus A. Carino, Daniel Zurita, Miguel Delgado Prieto, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso:
Remaining useful life estimation of ball bearings by means of monotonic score calibration. ICIT 2015: 1752-1758 - [c4]Daniel Zurita, Jesus A. Carino, Enric Sala, Miguel Delgado Prieto, Juan A. Ortega:
Time series forecasting by means of SOM aided Fuzzy Inference Systems. ICIT 2015: 1772-1778 - 2014
- [c3]Jesus A. Carino, Daniel Zurita, Miguel Delgado Prieto, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso:
Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions. ETFA 2014: 1-8 - [c2]Daniel Zurita, Jesus A. Carino, Miguel Delgado Prieto, Juan Antonio Ortega Redondo:
Distributed neuro-fuzzy feature forecasting approach for condition monitoring. ETFA 2014: 1-8 - 2012
- [c1]Jesus Adolfo Carino-Corrales, Omar J. Osuna-Paez, Jesus Villalpando-Osuna, René de Jesús Romero-Troncoso, Eduardo Cabal-Yepez, Arturo Garcia-Perez, Roque Alfredo Osornio-Rios:
Novel methodology for improving performance of sensorless speed observers in induction motors at variable load conditions. IECON 2012: 5126-5131
Coauthor Index
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