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Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(3)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
9th International Conference on Management of Digital EcoSystems, MEDES 2017(1)
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Framework 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 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 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 review on data-driven fault severity assessment in rolling bearings
ReviewAbstract: Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in induPalabras claves:Fault assessment, Fault severity, Fault size, Quantitative diagnosis, Rolling bearingsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusA statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions
ArticleAbstract: Gearboxes are crucial devices in rotating power transmission systems with applications in a varietyPalabras claves:classification, Fault diagnosis, feature selection, gearbox, Neural networks, Statistic testsAutores:Artés M., Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusClustering 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:googlescopusAn autonomic traffic analysis proposal using Machine Learning techniques
Conference ObjectAbstract: Network analysis has recently become in one of the most challenging tasks to handle due to the rapidPalabras claves:Autonomic computing, Machine learning, Quality of service, Traffic analysisAutores:Budoin C., Exposito E., Fannia Pacheco, Gineste M.Fuentes:scopus