Mostrando 10 resultados de: 52
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Journal of Intelligent and Fuzzy Systems(5)
Mechanical Systems and Signal Processing(4)
Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019(3)
Expert Systems with Applications(2)
IEEE Access(2)
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Física aplicada(41)
Ciencias de la computación(7)
Ingeniería y operaciones afines(3)
Instrumentos de precisión y otros dispositivos(3)
Otras ramas de la ingeniería(2)
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:googlescopusBayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor
ArticleAbstract: Reciprocating compression machinery is the primary source of compressed air in the industry. UndiagnPalabras claves:Bayesian optimization, deep learning, LSTM, Reciprocating compressor, Time-series dimensionality reductionAutores:Adriana del Pilar Guamán Buestán, Adriana Guamán, Cevallos J., Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Zhang S.Fuentes:googlescopusAnova and cluster distance based contributions for feature empirical analysis to fault diagnosis in rotating machinery
Conference ObjectAbstract: The number of extracted features for fault diagnosis in rotating machinery can grow considerably duePalabras claves:Anova, bearings, cluster validity assessment, Fault diagnosis, Feature engineeringAutores:Alvarez X., Diana Jadan-Avilés, Mariela Cerrada Lozada, Mario Peña, Milton F. Barragán-Landy, Pablo M. Lucero, René-Vinicio Sánchez Loja, Wilson Rodrigo Pérez RocanoFuentes:googlescopusA LSTM Neural Network Approach using Vibration Signals for Classifying Faults in a Gearbox
Conference ObjectAbstract: A deep learning based method for classifying multi-class faults in a gearbox is presented. A set ofPalabras claves:deep learning, Faults classification, gearboxes, Long short term memory networks, Vibration signalsAutores:Diego R. Cabrera, Jean Carlo Macancela Poveda, Li C., Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Ruben Medina Molina, Vásquez R.E.Fuentes:scopusA Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
ReviewAbstract: Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, rPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fault prognosis, Fuzzy Clustering, Fuzzy entropy, fuzzy rulesAutores:Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusA 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 hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines
ArticleAbstract: Anomaly detection in time series is an important task to many applications, e.g, the maintenance polPalabras claves:Anomaly detection, deep learning, prototype selection, Rotating machineryAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Filho C.J.A.B., Mariela Cerrada Lozada, Monteiro R.P., 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 review of vibration machine diagnostics by using artificial intelligence methods
OtherAbstract: In the industry, gears and rolling bearings failures are one of the foremost causes of breakdown inPalabras claves:Autores:Diego Cabrera Mendieta, René-Vinicio Sánchez LojaFuentes:google