Mostrando 3 resultados de: 3
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Publisher
Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019(2)
Applied Sciences (Switzerland)(1)
Accelerometer 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: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: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