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Publisher
IEEE(18)
CHILECON 2015 - 2015 IEEE Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies, Proceedings of IEEE Chilecon 2015(5)
Journal of Intelligent and Fuzzy Systems(5)
Mechanical Systems and Signal Processing(5)
Applied Sciences (Switzerland)(4)
Área temáticas
Física aplicada(73)
Métodos informáticos especiales(40)
Ciencias de la computación(20)
Ingeniería y operaciones afines(13)
Otras ramas de la ingeniería(10)
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:googlescopusCombining Design Thinking and Agile to Implement Condition Monitoring System: A Case Study on Paper Press Bearings
Conference ObjectAbstract: Nowadays, technologies and strategies to bring processes toward the Industry 4.0 paradigm go beyondPalabras claves:Agile, Bearing Fault, condition monitoring, DESIGN THINKING, industry 4.0, Paper IndustryAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Hebkp_redia, Julio Fernando Siguencia, Mariela Cerrada Lozada, Mauricio Leonardo Villacís, René-Vinicio Sánchez LojaFuentes:googlescopusCombining 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:googlescopusComparación 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:googlescopus