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CHILECON 2015 - 2015 IEEE Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies, Proceedings of IEEE Chilecon 2015(2)
International Journal of Performability Engineering(2)
Neurocomputing(2)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(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: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: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: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 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:googlescopusContinual Refoircement Learning Using Real-World Data for Intelligent Pbkp_rediction of SOC Consumption in Electric Vehicles
ArticleAbstract: The accelerated migration towards electric vehicles (EV) presents several problems to solve. The maiPalabras claves:Electric vehicles (EV), Meta-experience replay (MER, Neural networks (NN), principal component analysis (PCA), Reinforcementlearning (RL), State of Charge (SOC)Autores:Angel R. Cardenas, Diego R. Cabrera, German P. Ayabaca, Juan Paul Ortiz, Juan ValladolidFuentes:scopusConvolutional Neural Networks Using Fourier Transform Spectrogram to Classify the Severity of Gear Tooth Breakage
Conference ObjectAbstract: Gearboxes are essential devices for some applications, e.g., industrial rotating mechanical machinesPalabras claves:Convolutional neural network, Fault severity, Fourier transform, Gearbox Diagnosis, SpectrogramAutores:Diego R. Cabrera, Filho C.J.A.B., Mariela Cerrada Lozada, Monteiro R.P., René-Vinicio Sánchez LojaFuentes:scopusData-Driven Gearbox Fault Severity Diagnosis Based on Concept Drift
Conference ObjectAbstract: Condition-based maintenance aims to determine the machine state in real time, by monitoring the signPalabras claves:Concept drift, concept evolution, Fault Detection, Jensen-Shannon divergence, Kullback-Leibler divergenceAutores:Diego R. Cabrera, Lanzarini L.C., Mariela Cerrada Lozada, Mario Peña, René-Vinicio Sánchez LojaFuentes:scopusDeep hybrid state network with feature reinforcement for intelligent fault diagnosis of delta 3-D printers
ArticleAbstract: An echo state network (ESN) is a type of recurrent neural network that is good at processing time-sePalabras claves:Deep hybrid state network (DHSN), delta three-dimensional (3-D) printer, Fault diagnosis, feature reinforcementAutores:Bai Y., Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Long J., Sun Z., Zhang S.Fuentes:googlescopusGenerative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery
ArticleAbstract: At present, countless approaches to fault diagnosis in reciprocating machines have been proposed, alPalabras claves:GaN, Imbalanced data, Model selection, random forest, reciprocating machineryAutores:Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Zhang S.Fuentes:scopus