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:
Tipo de recurso:
Article of journal
Fecha de publicación:
2013
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/10437
Acceso en línea:
https://revistas.uan.edu.co/index.php/ingeuan/article/view/361
https://repositorio.uan.edu.co/handle/123456789/10437
Palabra clave:
Análisis vibracional
reconocimiento de patrones
descriptores de falla en maquina rotativa
espectro de Fourier
Vibrational analysis
pattern recognition
failure descriptors on rotating machine
Fourier spectrum
Rights
License
https://creativecommons.org/licenses/by-nc-sa/4.0