Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning

Fault diagnosis is important for the maintenance of rotating machinery. The detection of faults and fault patterns is a challenging part of machinery fault diagnosis. To tackle this problem, a model for deep statistical feature learning from vibration measurements of rotating machinery is presented...

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Detalles Bibliográficos
Autores principales: Li, Chuan, Sánchez, René-Vinicio, Zurita, Grover, Cerrada, Mariela, Cabrera, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934321/
https://www.ncbi.nlm.nih.gov/pubmed/27322273
http://dx.doi.org/10.3390/s16060895

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934321/
https://www.ncbi.nlm.nih.gov/pubmed/27322273
http://dx.doi.org/10.3390/s16060895

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