SOM Neural Network Fault Diagnosis Method of Polymerization Kettle Equipment Optimized by Improved PSO Algorithm

For meeting the real-time fault diagnosis and the optimization monitoring requirements of the polymerization kettle in the polyvinyl chloride resin (PVC) production process, a fault diagnosis strategy based on the self-organizing map (SOM) neural network is proposed. Firstly, a mapping between the p...

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Detalles Bibliográficos
Autores principales: Wang, Jie-sheng, Li, Shu-xia, Gao, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134784/
https://www.ncbi.nlm.nih.gov/pubmed/25152929
http://dx.doi.org/10.1155/2014/937680

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134784/
https://www.ncbi.nlm.nih.gov/pubmed/25152929
http://dx.doi.org/10.1155/2014/937680

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