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Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(1)
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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
OtherAbstract: Fault detection and diagnostic software (FDDS) supports technicians and engineers to deal with operaPalabras claves:Autores:Diego Cabrera MendietaFuentes:googleSome preliminary results on the comparison of FCM, GK, FCMFP and FN-DBSCAN for bearing fault diagnosis
OtherAbstract: Bearings are one of the most omnipresent and vulnerable components in rotary machinery such as motorPalabras claves:Autores:Diego Cabrera MendietaFuentes:google