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Jesus Carino
Jesus Carino
Verified email at upc.edu
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Cited by
Cited by
Year
Fault detection and identification methodology under an incremental learning framework applied to industrial machinery
JA Carino, M Delgado-Prieto, JA Iglesias, A Sanchis, D Zurita, M Millan, ...
IEEE access 6, 49755-49766, 2018
452018
Remaining useful life estimation of ball bearings by means of monotonic score calibration
JA Carino, D Zurita, M Delgado, JA Ortega, RJ Romero-Troncoso
2015 ieee international conference on industrial technology (icit), 1752-1758, 2015
342015
Enhanced industrial machinery condition monitoring methodology based on novelty detection and multi-modal analysis
JA Carino, M Delgado-Prieto, D Zurita, M Millan, JAO Redondo, ...
IEEE access 4, 7594-7604, 2016
302016
Industrial time series modelling by means of the neo-fuzzy neuron
D Zurita, M Delgado, JA Carino, JA Ortega, G Clerc
IEEE access 4, 6151-6160, 2016
302016
Distributed neuro-fuzzy feature forecasting approach for condition monitoring
D Zurita, JA Carino, M Delgado, JA Ortega
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation …, 2014
222014
Multimodal forecasting methodology applied to industrial process monitoring
D Zurita, M Delgado, JA Carino, JA Ortega
IEEE Transactions on Industrial Informatics 14 (2), 494-503, 2017
192017
Thermography-based methodology for multifault diagnosis on kinematic chain
M Delgado-Prieto, JA Carino-Corrales, JJ Saucedo-Dorantes, ...
IEEE Transactions on Industrial Informatics 14 (12), 5553-5562, 2018
182018
Vibration signal forecasting on rotating machinery by means of signal decomposition and neurofuzzy modeling
D Zurita-Millán, M Delgado-Prieto, JJ Saucedo-Dorantes, ...
Shock and Vibration 2016, 2016
142016
Incremental novelty detection and fault identification scheme applied to a kinematic chain under non-stationary operation
JA Cariño, M Delgado-Prieto, D Zurita, A Picot, JA Ortega, ...
ISA transactions 97, 76-85, 2020
132020
Improving the energy efficiency of industrial refrigeration systems by means of data-driven load management
J Cirera, JA Carino, D Zurita, JA Ortega
Processes 8 (9), 1106, 2020
122020
Novelty detection methodology based on multi-modal one-class support vector machine
JA Carino, D Zurita, A Picot, M Delgado, JA Ortega, RJ Romero-Troncoso
2015 IEEE 10th International Symposium on Diagnostics for Electrical …, 2015
102015
Vibration-based adaptive novelty detection method for monitoring faults in a kinematic chain
JA Cariño-Corrales, JJ Saucedo-Dorantes, D Zurita-Millan, ...
Shock and vibration 2016, 2016
82016
Data-driven operation performance evaluation of multi-chiller system using self-organizing maps
J Cirera, M Quiles, JA Carino, D Zurita, JA Ortega
2018 IEEE International Conference on Industrial Technology (ICIT), 2099-2104, 2018
72018
Data analytics for performance evaluation under uncertainties applied to an industrial refrigeration plant
J Cirera, JA Carino, D Zurita, JA Ortega
IEEE access 7, 64127-64135, 2019
62019
Novelty detection based condition monitoring scheme applied to electromechanical systems
M Delgado-Prieto, JA Carino, JJ Saucedo-Dorantes, RA Osornio-Rios, ...
2018 IEEE 23rd International Conference on Emerging Technologies and Factory …, 2018
62018
Industrial process monitoring by means of recurrent neural networks and self organizing maps
D Zurita, E Sala, JA Carino, M Delgado, JA Ortega
2016 IEEE 21st International Conference on Emerging Technologies and Factory …, 2016
52016
Novel methodology for improving performance of sensorless speed observers in induction motors at variable load conditions
JA Carino-Corrales, OJ Osuna-Paez, J Villalpando-Osuna, ...
IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society …, 2012
52012
Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions
JA Carino, D Zurita, M Delgado, JA Ortega, RJ Romero-Troncoso
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation …, 2014
42014
A data-driven-based industrial refrigeration optimization method considering demand forecasting
J Cirera, JA Carino, D Zurita, JA Ortega
Processes 8 (5), 617, 2020
32020
Industrial machinery diagnosis by means of normalized time-frequency maps
A Picot, D Zurita, J Cariño, E Fournier, J Régnier, JA Ortega
2015 IEEE 10th International Symposium on Diagnostics for Electrical …, 2015
32015
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