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Journal of Intelligent and Fuzzy Systems(2)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
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Clustering algorithm using rough set theory for unsupervised feature selection
Conference ObjectAbstract: Nowadays, the available data to describe real world problems grows in considerable manner, due to thPalabras claves:Autores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusAttribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery
ArticleAbstract: Features extracted from real world applications increase dramatically, while machine learning methodPalabras claves:Attribute clustering, Fault severity classification, feature selection, Rotating machinery, Rough setAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA hybrid heuristic algorithm for evolving models in simultaneous scenarios of classification and clustering
ArticleAbstract: Machine Learning is currently an important research field that attracts interest due to its importanPalabras claves:classification, Clustering, Data Mining, Evolving learning, Hybrid learning, Incremental learningAutores:Altamiranda J., José Lisandro Aguilar Castro, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery
Conference ObjectAbstract: Selecting an adequate machine learning model, e.g. for feature selection or classification, is a verPalabras claves:Autores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA semi-supervised approach based on evolving clusters for discovering unknown abnormal condition patterns in gearboxes
Conference ObjectAbstract: Fault diagnosis plays a crucial role to maintain healthy conditions in rotating machinery. In real iPalabras claves:Fault Detection, Fault diagnosis, gearboxes, Knowledge Discovery, Machine learning, semi-supervised learningAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusData-Driven Gearbox Fault Severity Diagnosis Based on Concept Drift
Conference ObjectAbstract: Condition-based maintenance aims to determine the machine state in real time, by monitoring the signPalabras claves:Concept drift, concept evolution, Fault Detection, Jensen-Shannon divergence, Kullback-Leibler divergenceAutores:Diego R. Cabrera, Lanzarini L.C., Mariela Cerrada Lozada, Mario Peña, René-Vinicio Sánchez LojaFuentes:scopusDeep neural networks-based rolling bearing fault diagnosis
ArticleAbstract: Rolling bearing is one of the most commonly used components in rotating machinery. It's so easy to bPalabras claves:Deep Belief Networks, Deep boltzmann machines, Fault diagnosis, Rolling bearing, Stacked Auto-EncodersAutores:Chen X., Chen Z.Q., Deng S., Li C., Qin H., René-Vinicio Sánchez LojaFuentes:googlescopusFrom fault detection to one-class severity discrimination of 3D printers with one-class support vector machine
ArticleAbstract: The lack of faulty condition data reduces the feasibility of supervised learning for fault detectionPalabras claves:3D printer, Bidirectional generative adversarial network, Fault Detection, One-Class Support Vector Machine, Severity discriminationAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Estupinan E., Fernando Sancho-Caparrini, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals
ArticleAbstract: Collecting data from mechanical systems in abnormal conditions is expensive and time consuming. ConsPalabras claves:3D printers, Adversarial learning, Condition-Based Maintenance, convolutional neural networks, Fault DetectionAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Valente de Oliveira J.Fuentes:googlescopusGenerative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery
ArticleAbstract: At present, countless approaches to fault diagnosis in reciprocating machines have been proposed, alPalabras claves:GaN, Imbalanced data, Model selection, random forest, reciprocating machineryAutores:Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Zhang S.Fuentes:scopus