Mostrando 10 resultados de: 14
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Applied Sciences (Switzerland)(2)
Journal of Intelligent and Fuzzy Systems(2)
Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(2)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
International Journal of Advanced Manufacturing Technology(1)
Área temáticas
Métodos informáticos especiales(8)
Ingeniería y operaciones afines(2)
Ciencias de la computación(1)
Otras ramas de la ingeniería(1)
A 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 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:googlescopusGear Crack Level Classification by Using KNN and Time-Domain Features from Acoustic Emission Signals under Different Motor Speeds and Loads
Conference ObjectAbstract: Diagnosing failures during their initial stage is important to avoid unexpected stops and catastrophPalabras claves:Acoustic Emission, Fault diagnosis, feature time-domain, gear crack, K-NEAREST NEIGHBORSAutores:Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusGear and bearing fault classification under different load and speed by using Poincaré plot features and SVM
ArticleAbstract: This paper describes two algorithms for feature extraction from the Poincaré plot which is constructPalabras claves:bearing fault diagnosis, Gearbox fault diagnosis, Poincaré plot, Rotating machinery, Support Vector Machine, Vibration signalsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:googlescopusGearbox fault classification using dictionary sparse based representations of vibration signals
Conference ObjectAbstract: Fault detection in rotating machinery is important for optimizing maintenance chores and avoiding sePalabras claves:Dictionary Learning, Feature Extraction, gearbox fault, sparse representation, Vibration signalAutores:Alvarez X., Diana Jadan-Avilés, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopusFeature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN
Conference ObjectAbstract: Gearboxes and bearings play an important role in industries for motion and torque transmission machiPalabras claves:Feature ranking, Multi-fault diagnosis, Rotating machinery, time featuresAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusEvaluation of time and frequency condition indicators from vibration signals for crack detection in railway axles
ArticleAbstract: Railway safety is a matter of importance as a single failure can involve risks associated with econoPalabras claves:condition monitoring, Crack detection, Feature Extraction, feature selection, Frequency-domain features, Railway axles, Random forest classifier, Time-domain featuresAutores:Alonso H.R., Castejón C., Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez LojaFuentes:googlescopusMulti-fault diagnosis of rotating machinery by using feature ranking methods and SVM-based classifiers
Conference ObjectAbstract: Rotating machinery plays an important role in industries for motion transmission in machines; the brPalabras claves:Feature ranking, Helical gearbox, Multi-fault diagnosisAutores:Fannia Pacheco, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusInfluence of Accelerometer Position on Gearbox Fault Severity Classification through Evaluation of Deep Learning Models
Conference ObjectAbstract: Gears are key elements in mechanical transmission systems. Fault diagnosis in gearboxes is a cuttingPalabras claves:Bayesian optimization, Fault severity classification, hyperparameters search, K-S test, LSTM networksAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Li C., Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Villacrés S.Fuentes:googlescopusVibration signal analysis using symbolic dynamics for gearbox fault diagnosis
ArticleAbstract: This paper addresses the use of two algorithms based on symbolic dynamics analysis of vibration signPalabras claves:Fault diagnosis, Poincare plots, Rotating machines, Symbolic dynamicsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Ruben Medina Molina, Vásquez R.E.Fuentes:googlescopus