Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/86369

TítuloHybrid intelligent model for classification of the boost converter switching operation
Autor(es)Fernandez-Serantes, Luis-Alfonso
Casteleiro-Roca, Jose-Luis
Novais, Paulo
Simic, Dragan
Calvo-Rolle, Jose Luis
Palavras-chaveHard-switching
Soft-switching
Boost converter
Power electronics
Classification
Hybrid model
Data2022
EditoraSpringer, Cham
RevistaLecture Notes in Artificial Intelligence (subseries of Lecture Notes in Computer Science)
CitaçãoFernandez-Serantes, LA., Casteleiro-Roca, JL., Novais, P., Simić, D., Calvo-Rolle, J.L. (2022). Hybrid Intelligent Model for Classification of the Boost Converter Switching Operation. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2022. Lecture Notes in Computer Science(), vol 13469. Springer, Cham. https://doi.org/10.1007/978-3-031-15471-3_41
Resumo(s)The application of a hybrid intelligent model is applied to a boost converter with the aim of detecting the switching operating mode of the converter. Thus, the boost converter has been analyzed and the 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, finally, the hybrid intelligent classification model is implemented. The proposed model is able to distinguish between the HS and SS operating modes with high accuracy.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/86369
ISBN978-3-031-15470-6
e-ISBN978-3-031-15471-3
DOI10.1007/978-3-031-15471-3_41
ISSN0302-9743
Versão da editorahttps://link.springer.com/chapter/10.1007/978-3-031-15471-3_41
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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