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Attribute 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:googlescopusAutomatización de la línea de ensamble de congeladores e ingreso de producto terminado, en la empresa INDUGLOB S.A
Master ThesisAbstract: En este trabajo se presenta el diseño e implantación de un sistema de control y monitoreo para la líPalabras claves:CONTROL DE PROCESOS INDUSTRIALES, FÁBRICAS - AUTOMATIZACIÓN, MÉTODOS DE LÍNEAS DE ENSAMBLADO - CONTROL AUTOMÁTICO, Procesos De Manufactura, REGULADORES SECUENCIALES PROGRAMABLESAutores:Edgar Fernando Lojan Bermeo, Mariela Cerrada LozadaFuentes:rraaeBayesian 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:scopusA 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:googlescopusA Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
ReviewAbstract: Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, rPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fault prognosis, Fuzzy Clustering, Fuzzy entropy, fuzzy rulesAutores:Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusA comparative feature analysis for gear pitting level classification by using acoustic emission, vibration and current signals
Conference ObjectAbstract: this paper addresses the comparison of features, extracted in the time domain, from vibration, acousPalabras claves:Acoustic Emission, current, Fault diagnosis, fault level, pitting fault, spur gearbox, vibrationAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopus