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scopus(8)
Analysis of Gas Turbine Compressor Performance after a Major Maintenance Operation Using an Autoencoder Architecture
ArticleAbstract: Machine learning algorithms and the increasing availability of data have radically changed the way hPalabras claves:Artificial Intelligence, Autoencoder, compressor, condition assessment, Gas turbineAutores:Cecilio Angulo Bahón, de Castro-Cros M., Velasco M.Fuentes:scopusCondition assessment of industrial gas turbine compressor using a drift soft sensor based in autoencoder
ArticleAbstract: Maintenance is the process of preserving the good condition of a system to ensure its reliability anPalabras claves:Artificial Intelligence, Autoencoder, condition assessment, Gas turbine, Soft sensorAutores:Bahilo E., Cecilio Angulo Bahón, de Castro-Cros M., Rosso S., Velasco M.Fuentes:scopusOperational modes detection in industrial gas turbines using an ensemble of clustering methods
ArticleAbstract: Operational modes of a process are described by a number of relevant features that are indicative ofPalabras claves:Artificial Intelligence, Clustering, Ensemble of clusters, Gas turbine, Operational modesAutores:Bahilo E., Cecilio Angulo Bahón, Ghazvini M.B., Sànchez-Marrè M.Fuentes:scopusMachine-learning-based condition assessment of gas turbines—a review
ArticleAbstract: Condition monitoring, diagnostics, and prognostics are key factors in today’s competitive industrialPalabras claves:Artificial Intelligence, condition assessment, Gas turbine, Machine learning, Soft sensorAutores:Cecilio Angulo Bahón, de Castro-Cros M., Velasco M.Fuentes:scopusLIFE IN THE AI ERA First result of the Erasmus+ HEDY project
Conference ObjectAbstract: HEDY - Life in the AI era is a 2-year Erasmus+ project started in November 2021 targeting higher eduPalabras claves:Artificial Intelligence, FOCUS GROUPS, impacts, literature surveyAutores:Careglio D., Cecilio Angulo Bahón, Dimova R., Dovramadjiev T., Ejubovic A., Jakobi A., Kollar C., Moreira A.I.A., Sukhovii E., Szabo G.Fuentes:scopusTowards a cognitive assistant supporting human operators in the Artificial Intelligence of Things
ReviewAbstract: Internet of Things (IoT) systems are becoming increasingly complex due to heterogeneity of devices aPalabras claves:Artificial Intelligence, Assistive systems, COGNITIVE SKILLS, Cyber–physical systems, Human-centred, internet of thingsAutores:Alejandro Chacón, Cecilio Angulo Bahón, Ponsa P.Fuentes:scopusSupport Vector Machines for color adjustment in automotive basecoat
Conference ObjectAbstract: Traditionally, Computer Colorant Formulation has been implemented using a theory of radiation transfPalabras claves:Artificial Intelligence, Color adjustment, Color formulation, Decision Support Systems, Support Vector MachineAutores:Agell N., Cecilio Angulo Bahón, Ruiz F.J.Fuentes:scopusSupport vector machines with symbolic interpretation
Conference ObjectAbstract: In this work, a procedure for rule extraction from support vector machines (SVMs) is proposed. Our mPalabras claves:Artificial Intelligence, Clustering algorithms, Data Mining, Intelligent Systems, Neural networks, pbkp_redictive models, Prototypes, Support vector machine classification, SUPPORT VECTOR MACHINES, Systems engineering and theoryAutores:Cecilio Angulo Bahón, Mallofre A.C., Nuñez H.Fuentes:scopus