Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/89828

TítuloDimensional reduction applied to an intelligent model for boost converter switching operation
Autor(es)Fernandez-Serantes, Luis Alfonso
Casteleiro-Roca, José Luis
Novais, Paulo
Simić, Dragan
Calvo-Rolle, José Luis
Palavras-chaveBoost converter
Classification
Dimensional reduction
Hard-switching
Power electronics
Soft-switching
Data2023
EditoraSpringer, Cham
RevistaLecture Notes in Networks and Systems
CitaçãoFernandez-Serantes, LA., Casteleiro-Roca, JL., Novais, P., Simić, D., Calvo-Rolle, J.L. (2023). Dimensional Reduction Applied to an Intelligent Model for Boost Converter Switching Operation. In: García Bringas, P., et al. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). SOCO 2022. Lecture Notes in Networks and Systems, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-031-18050-7_12
Resumo(s)The dimensional reduction algorithms are applied to a hybrid intelligent model that distinguishes the switching operating mode of a boost converter. Thus, the boost converter has been analyzed and both operating mode are explained, distinguishing between Hard-switching and Soft-switching modes. Then, the dataset is created out of the data obtained from simulation of the real circuit and the hybrid intelligent classification model is implemented. Finally, the dimensional reduction of the input variables is carried out and the results are compared. As result, the proposed model with the applied dimensional reduced dataset is able to distinguish between the HS and SS operating modes with high accuracy.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/89828
ISBN978-3-031-18049-1
e-ISBN978-3-031-18050-7
DOI10.1007/978-3-031-18050-7_12
ISSN2367-3370
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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