Mostrando 6 resultados de: 6
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Publisher
Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(2)
Applied Soft Computing Journal(1)
Expert Systems with Applications(1)
Knowledge-Based Systems(1)
Proceedings - 11th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2017(1)
Área temáticas
Física aplicada(4)
Ciencias de la computación(2)
Métodos informáticos especiales(2)
Otras ramas de la ingeniería(1)
Combining reservoir computing and variational inference for efficient one-class learning on dynamical systems
Conference ObjectAbstract: Usually, time series acquired from some measurement in a dynamical system are the main source of infPalabras claves:Dynamical system modeling, reservoir computing, variational inferenceAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Tobar F.Fuentes: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:googlescopusAutomatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation
ArticleAbstract: Signals captured in rotating machines to obtain the status of their components can be considered asPalabras claves:Auto-encoder, Convolution, deep learning, Helical gearbox, Wavelet packetsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Fernando Sancho-Caparrini, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA 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:googlescopusSOA Based Integrated Software to Develop Fault Diagnosis Models Using Machine Learning in Rotating Machinery
Conference ObjectAbstract: Fault detection and diagnostic software (FDDS) supports technicians and engineers to deal with operaPalabras claves:e-Maintenance, Fault diagnosis, Industrial supervision, Machine learning, Rotating machinery, SOAAutores:Diego R. Cabrera, Fannia Pacheco, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez LojaFuentes:googlescopusSome preliminary results on the comparison of fcm, gk, fcmfp and fn-dbscan 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 R. Cabrera, Fannia Pacheco, Li C., Mariela Cerrada Lozada, Oliveira J.V.D., René-Vinicio Sánchez Loja, Ulutagay G.Fuentes:scopus