An Intelligent Diagnosis Method for Rotating Machinery Using Least Squares Mapping and a Fuzzy Neural Network

This study proposes a new condition diagnosis method for rotating machinery developed using least squares mapping (LSM) and a fuzzy neural network. The non-dimensional symptom parameters (NSPs) in the time domain are defined to reflect the features of the vibration signals measured in each state. A...

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Detalles Bibliográficos
Autores principales: Li, Ke, Chen, Peng, Wang, Shiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386721/
https://www.ncbi.nlm.nih.gov/pubmed/22778622
http://dx.doi.org/10.3390/s120505919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386721/
https://www.ncbi.nlm.nih.gov/pubmed/22778622
http://dx.doi.org/10.3390/s120505919

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