Mostrando 10 resultados de: 16
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Publisher
Applied Sciences (Switzerland)(2)
Journal of Intelligent and Fuzzy Systems(2)
Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(2)
Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019(2)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
Área temáticas
Física aplicada(14)
Métodos informáticos especiales(9)
Ingeniería y operaciones afines(4)
Ciencias de la computación(1)
Dirección general(1)
Área de conocimiento
Aprendizaje automático(11)
Ingeniería mecánica(7)
Vibración(2)
Aprendizaje profundo(1)
Ciencias de la computación(1)
Origen
google(13)
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:googlescopusAccelerometer Placement Comparison for Crack Detection in Railway Axles Using Vibration Signals and Machine Learning
Conference ObjectAbstract: In this paper, a methodology for accelerometer placement comparison for crack detection in railway aPalabras claves:Crack detection, feature selection, Machine learning, railway, Vibration signalAutores:Alonso H.R., Diego R. Cabrera, Jean Carlo Macancela Poveda, Li C., Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez LojaFuentes: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:googlescopus