New Fault Recognition Method for Rotary Machinery Based on Information Entropy and a Probabilistic Neural Network

Feature recognition and fault diagnosis plays an important role in equipment safety and stable operation of rotating machinery. In order to cope with the complexity problem of the vibration signal of rotating machinery, a feature fusion model based on information entropy and probabilistic neural net...

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Detalles Bibliográficos
Autores principales: Jiang, Quansheng, Shen, Yehu, Li, Hua, Xu, Fengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855057/
https://www.ncbi.nlm.nih.gov/pubmed/29364856
http://dx.doi.org/10.3390/s18020337

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855057/
https://www.ncbi.nlm.nih.gov/pubmed/29364856
http://dx.doi.org/10.3390/s18020337

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