Automatic Classification of mechanical vibration patterns in rotating machinery affected by unbalance

In this paper, we present an algorithm for automatic classification of vibration patterns on rotating machinery affected by unbalance from spectral analysis. We developed this algorithm using case-based reasoning and various descriptors. The raised descriptors were: The root mean square value (RMS),...

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Autores principales:	Sandoval Rodríguez, Camilo Leonardo, Barros, Andres Alejandro, Herreño Ávila, Sergio Alberto
Formato:	info:eu-repo/semantics/publishedVersion
Lenguaje:	spa
Publicado:	Universidad Antonio Nariño 2021
Materias:	Vibrational analysis pattern recognition failure descriptors on rotating machine Fourier spectrum Análisis vibracional reconocimiento de patrones descriptores de falla en maquina rotativa espectro de Fourier
Acceso en línea:	http://revistas.uan.edu.co/index.php/ingeuan/article/view/361 http://repositorio.uan.edu.co/handle/123456789/3932
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