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),...
- 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