Mostrando 10 resultados de: 25
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Mechanical Systems and Signal Processing(3)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022(1)
Applied Intelligence(1)
Applied Soft Computing Journal(1)
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Física aplicada(25)
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Ingeniería y operaciones afines(1)
Automatic 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: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 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:googlescopusA dictionary sparse based representation of vibration signals for gearbox fault detection
Conference ObjectAbstract: Detection of faults in the early stages for rotating machinery is important for optimizing maintenanPalabras claves:Dictionary Learning, Gearbox fault detection, Rotating machinery, Sparse based signal representationAutores:Alvarez X., Diana Jadan-Avilés, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:googlescopusA review on data-driven fault severity assessment in rolling bearings
ReviewAbstract: Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in induPalabras claves:Fault assessment, Fault severity, Fault size, Quantitative diagnosis, Rolling bearingsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusDetección y diagnóstico de fallos de caja de engranajes rectos utilizando un algoritmo de clasificación basado en similaridad difusa aplicado en señales de vibración
Bachelor ThesisAbstract: El documento trata sobre el monitoreo de la condición real de una caja de engranajes rectos mediantePalabras claves:ALGORITMOS - LAMDA-HAD, Análisis de Varianza, ENGRANAJES - VIBRACIÓN - MEDICIONES, INGENIERÍA MECATRÓNICA, LOCALIZACIÓN DE FALLAS (INGENIERÍA), PROCESAMIENTO DE SEÑALES - TÉCNICAS DIGITALESAutores:Mariela Cerrada Lozada, Willy Fabián Loaiza SánchezFuentes:rraaeDiagnóstico del nivel de severidad de fallo de diente roto en engranajes rectos usando algoritmos de aprendizaje automático y gráficas de Poincaré aplicados a la señal de par eléctrico de un motor de inducción
Bachelor ThesisAbstract: Este documento trata sobre el diagnóstico del nivel de severidad de fallo de diente roto en una cajaPalabras claves:Algoritmos, APRENDIZAJE AUTOMÁTICO (INTELIGENCIA ARTIFICIAL), ENGRANAJES, INGENIERÍA MECATRÓNICA, LOCALIZACIÓN DE FALLAS (INGENIERÍA), random forestAutores:María Victoria Mejía Correa, Mariela Cerrada LozadaFuentes:rraaeDeep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals
Conference ObjectAbstract: A method for gearbox pitting faults severity classification using Deep Learning techniques is reportPalabras claves:Acoustic Emission, deep learning, Faults detection, gearbox, Long short term memory networksAutores:Diego R. Cabrera, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopusAdversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump
ArticleAbstract: The data unavailability of critical machinery is an open issue in the field of condition-based maintPalabras claves:Anomaly detection, Condition-Based Maintenance, Fault Detection, Feature Extraction, Generative Adversarial Network, Generative Adversarial Networks, hydraulic pump, mathematical models, Pumps, Task analysis, VibrationsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Estupinan E., Li C., Long J., Mariela Cerrada Lozada, Mauricio Leonardo Villacís, René-Vinicio Sánchez Loja, Sancho F.Fuentes:googlescopus