Jesus Adolfo Carino-Corrales

Orcid: 0000-0003-4069-3561

Affiliations:
  • Polytechnic University of Catalonia, Barcelona, Spain


According to our database1, Jesus Adolfo Carino-Corrales authored at least 18 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2019
Data Analytics for Performance Evaluation Under Uncertainties Applied to an Industrial Refrigeration Plant.
IEEE Access, 2019

Semisupervised refrigeration plant cooling disaggregation by means of deep neural network ensemble.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

2018
Multimodal Forecasting Methodology Applied to Industrial Process Monitoring.
IEEE Trans. Ind. Informatics, 2018

Thermography-Based Methodology for Multifault Diagnosis on Kinematic Chain.
IEEE Trans. Ind. Informatics, 2018

Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery.
IEEE Access, 2018

Data-driven operation performance evaluation of multi-chiller system using self-organizing maps.
Proceedings of the IEEE International Conference on Industrial Technology, 2018

Statistical data fusion as diagnosis scheme applied to a kinematic chain.
Proceedings of the IEEE International Conference on Industrial Technology, 2018

Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical Systems.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

2017
Fault detection and identification methodology under an incremental learning framework applied to industrial electromechanical systems.
PhD thesis, 2017

2016
Industrial Time Series Modelling by Means of the Neo-Fuzzy Neuron.
IEEE Access, 2016

Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis.
IEEE Access, 2016

Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016

2015
Time series forecasting by means of SOM aided Fuzzy Inference Systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

Remaining useful life estimation of ball bearings by means of monotonic score calibration.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

2014
Distributed neuro-fuzzy feature forecasting approach for condition monitoring.
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014

Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions.
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014

2012
Novel methodology for improving performance of sensorless speed observers in induction motors at variable load conditions.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012


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