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Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(3)
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Hierarchical feature selection based on relative dependency for gear fault diagnosis
ArticleAbstract: Feature selection is an important aspect under study in machine learning based diagnosis, that aimsPalabras claves:Attribute clustering, feature selection, Gear fault diagnosis, Relative dependency, Rough setsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFramework for discovering unknown abnormal condition patterns in gearboxes using a semi-supervised approach
Conference ObjectAbstract: Fault diagnosis plays a crucial role to maintain healthy conditions in rotating machinery. This papePalabras claves:Fault Detection, Fault diagnosis, gearboxes, Knowledge Discovery, semi-supervised learningAutores:Fannia Pacheco, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusDeep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis
ArticleAbstract: Nowadays, intelligent models can correctly detect faults by analysing signals from rotating machinerPalabras claves:deep learning, Fault diagnosis, Rotating machinery, Transfer learning, Vibration signalAutores:Diego R. Cabrera, Drimus A., Duggen L., Fannia Pacheco, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusA Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification
ArticleAbstract: A bearing is an essential component in rotating machinery, one of its principal cause of failure, anPalabras claves:Bearing, Clustering, fault classification, Probabilistic Fuzzy systems, vibration analysisAutores:Delgado M., Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Ledo L., Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications
Conference ObjectAbstract: In this paper, we present an architectural framework to perform Internet traffic classification in SPalabras claves:Deep packet inspection, Internet traffic classification, Machine learning, Satellite communicationsAutores:Exposito E., Fannia Pacheco, Gineste M.Fuentes:scopusA comparison of fuzzy clustering algorithms for bearing fault diagnosis
Conference ObjectAbstract: Bearings are one of the most omnipresent and vulnerable components in rotary machinery such as motorPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fcm, FCMFP, Fn-dbscan, Fuzzy Clustering, fuzzy rules, Gustafson-Kessel clusteringAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ulutagay G.Fuentes:googlescopusA framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications
ArticleAbstract: Nowadays, the Internet network system serves as a platform for communication, transaction, and enterPalabras claves:Encrypted traffic, Internet traffic classification, Machine learning, QoS management, Satellite communicationsAutores:Exposito E., Fannia Pacheco, Gineste M.Fuentes:scopusA fuzzy transition based approach for fault severity prediction in helical gearboxes
ArticleAbstract: Rotating machinery is an important device supporting manufacturing processes, and a wide research woPalabras claves:Fault detection and diagnosis, Fault severity classification, Fault severity pbkp_rediction, Fuzzy pbkp_rediction, Fuzzy transition probabilityAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., 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 novel statistical based feature extraction approach for the inner-class feature estimation using linear regression
Conference ObjectAbstract: Nowadays, statistical based feature extraction approaches are commonly used in the knowledge discovePalabras claves:Autores:Budoin C., Exposito E., Fannia Pacheco, Gineste M., José Lisandro Aguilar CastroFuentes:scopus