Evaluation of time and frequency condition indicators from vibration signals for crack detection in railway axles

Article

Abstract: Railway safety is a matter of importance as a single failure can involve risks associated with econo

Palabras claves:

condition monitoring, Crack detection, Feature Extraction, feature selection, Frequency-domain features, Railway axles, Random forest classifier, Time-domain features

Autores:

Alonso H.R., Castejón C., Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja

Fuentes:

google

scopus