Mostrando 7 resultados de: 7
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Publisher
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
International Journal of Advanced Manufacturing Technology(1)
Journal of Intelligent Manufacturing(1)
Journal of Intelligent and Fuzzy Systems(1)
Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(1)
Área de conocimiento
Aprendizaje automático(7)
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:scopusVibration 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:googlescopusPoincaré plot features from vibration signal for gearbox fault diagnosis
Conference ObjectAbstract: This paper describes a method for fault diagnosis in gearboxes using features extracted from the PoiPalabras claves:Gearbox faults classification, Multi-class Support Vector Machines, Poincare plots, Rotatory machinesAutores:Alvarez X., Diana Jadan-Avilés, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopus