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Comparación de señales de vibración y corriente para la detección de la severidad de fallos en engranajes
OtherAbstract: Está investigación tiene como objetivo comparar las señales de vibración y corriente de un motor dePalabras claves:Autores:Diego Cabrera MendietaFuentes:googleAttribute 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:googlescopusAudit Model for the Management of Physical Assets Maintenance. Case Study: Mechanical Laboratories at Ecuadorian University
Book PartAbstract: The development and execution of an ideal and feasible model to evaluate the maintenance managementPalabras claves:Assets, Audit model, Maintenance managementAutores:Anderson Mogollón Espinoza, Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, Mayra Puedmag, René-Vinicio Sánchez LojaFuentes:googlescopusAutoML for feature selection and model tuning applied to fault severity diagnosis in Spur gearboxes
OtherAbstract: Gearboxes are widely used in industrial processes as mechanical power transmission systems. Then, gePalabras claves:Autores:Diego Cabrera MendietaFuentes:googleAutomatic 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:googlescopusBalance of a hexapod in real time using a FPGA
Conference ObjectAbstract: This paper is a review of a project that was done to get the balance of a hexapod robot. This robotPalabras claves:Adaption, articulation, displacement, Equilibrium, Hexapod, locomotionAutores:Christian R. Jimenes, Diego Cabrera Mendieta, Diego R. Cabrera, Juan P. Torres, Luis M. AguilarFuentes: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:googlescopus2016 Prognostics and System Health Management Conference
OtherAbstract: The following topics are dealt with: fault diagnosis; condition monitoring; learning (artificial intPalabras claves:Autores:Diego Cabrera MendietaFuentes:googleA LSTM neural network approach using vibration signals for classifying faults in a gearbox
OtherAbstract: A deep learning based method for classifying multi-class faults in a gearbox is presented. A set ofPalabras claves:Autores:Diego Cabrera MendietaFuentes:googleA Method for the Estimation of the Constant Load Torque by Using the Steady-State Electrical Torque Signal
Conference ObjectAbstract: In this paper, the constant load torque of a three-phase induction motor is estimated by means of thPalabras claves:Electrical torque, induction machines, Load torque, Parameter estimation, Torque estimationAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, Renato Ortega, René-Vinicio Sánchez LojaFuentes:googlescopus