Dissolved Gases Forecasting Based on Wavelet Least Squares Support Vector Regression and Imperialist Competition Algorithm for Assessing Incipient Faults of Transformer Polymer Insulation

A solution for forecasting the dissolved gases in oil-immersed transformers has been proposed based on the wavelet technique and least squares support vector machine. In order to optimize the hyper-parameters of the constructed wavelet LS-SVM regression, the imperialist competition algorithm was the...

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Detalles Bibliográficos
Autores principales: Liu, Jiefeng, Zheng, Hanbo, Zhang, Yiyi, Li, Xin, Fang, Jiake, Liu, Yang, Liao, Changyi, Li, Yuquan, Zhao, Junhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402009/
https://www.ncbi.nlm.nih.gov/pubmed/30960069
http://dx.doi.org/10.3390/polym11010085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402009/
https://www.ncbi.nlm.nih.gov/pubmed/30960069
http://dx.doi.org/10.3390/polym11010085

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