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Journal of Intelligent and Fuzzy Systems(4)
Mechanical Systems and Signal Processing(4)
Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(4)
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Comparación de las Señales de Vibración y Corriente para la Detección de la Severidad de Fallos en Engranajes
OtherAbstract:Palabras claves:Autores:René-Vinicio Sánchez LojaFuentes:googleComparación de señales de vibración y emisión acústica para la detección de diente roto mediante la transformada rápida de Fourier, transformada Hilbert y Cepstrum
OtherAbstract: En la industria las cajas de engranajes se utilizan ampliamente como sistemas de transmisión de potePalabras claves:Autores:René-Vinicio Sánchez LojaFuentes:googleComparación de señales de vibración, acústica y de corriente para la detección de fallos en rodamientos mediante la transformada rápida de Fourier, envolvente y Cepstrum
OtherAbstract: Los rodamientos son elementos fundamentales en la maquinaria rotativa, un fallo en los mismos generaPalabras claves:Autores:René-Vinicio Sánchez LojaFuentes:googleComparison Of Vibration And Current Signals For The Detection Of The Severity Of Faults In Gears
OtherAbstract: Está investigación tiene como objetivo comparar las señales de vibración y corriente de un motor dePalabras claves:Autores:René-Vinicio Sánchez LojaFuentes: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: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: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:googlescopusAnova and cluster distance based contributions for feature empirical analysis to fault diagnosis in rotating machinery
Conference ObjectAbstract: The number of extracted features for fault diagnosis in rotating machinery can grow considerably duePalabras claves:Anova, bearings, cluster validity assessment, Fault diagnosis, Feature engineeringAutores:Alvarez X., Diana Jadan-Avilés, Mariela Cerrada Lozada, Mario Peña, Milton F. Barragán-Landy, Pablo M. Lucero, René-Vinicio Sánchez Loja, Wilson Rodrigo Pérez RocanoFuentes:googlescopusA LSTM Neural Network Approach using Vibration Signals for Classifying Faults in a Gearbox
Conference ObjectAbstract: A deep learning based method for classifying multi-class faults in a gearbox is presented. A set ofPalabras claves:deep learning, Faults classification, gearboxes, Long short term memory networks, Vibration signalsAutores:Diego R. Cabrera, Jean Carlo Macancela Poveda, Li C., Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Ruben Medina Molina, Vásquez R.E.Fuentes:scopus