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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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Autori principali: Wang, Jie-sheng, Li, Shu-xia, Gao, Jie
Natura: Artigo
Lingua:Inglês
Pubblicazione: Hindawi Publishing Corporation 2014
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4134784/
https://ncbi.nlm.nih.gov/pubmed/25152929
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/937680
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