Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/86369Registo completo
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.author | Fernandez-Serantes, Luis-Alfonso | por |
| dc.contributor.author | Casteleiro-Roca, Jose-Luis | por |
| dc.contributor.author | Novais, Paulo | por |
| dc.contributor.author | Simic, Dragan | por |
| dc.contributor.author | Calvo-Rolle, Jose Luis | por |
| dc.date.accessioned | 2023-09-13T15:17:46Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Fernandez-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 | por |
| dc.identifier.isbn | 978-3-031-15470-6 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | https://hdl.handle.net/1822/86369 | - |
| dc.description.abstract | 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. | por |
| dc.description.sponsorship | CITIC, as a Research Center of the University System of Galicia, is funded by Conselleria de Educacion, Universidade e Formacion Profesional of the Xunta de Galicia through the European Regional Development Fund (ERDF) and the Secretaria Xeral de Universidades (Ref. ED431G 2019/01). | por |
| dc.language.iso | eng | por |
| dc.publisher | Springer, Cham | por |
| dc.rights | restrictedAccess | por |
| dc.subject | Hard-switching | por |
| dc.subject | Soft-switching | por |
| dc.subject | Boost converter | por |
| dc.subject | Power electronics | por |
| dc.subject | Classification | por |
| dc.subject | Hybrid model | por |
| dc.title | Hybrid intelligent model for classification of the boost converter switching operation | por |
| dc.type | conferencePaper | por |
| dc.peerreviewed | yes | por |
| dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-031-15471-3_41 | por |
| oaire.citationStartPage | 481 | por |
| oaire.citationEndPage | 493 | por |
| oaire.citationVolume | 13469 | por |
| dc.date.updated | 2023-07-31T23:35:15Z | - |
| dc.identifier.doi | 10.1007/978-3-031-15471-3_41 | por |
| dc.date.embargo | 10000-01-01 | - |
| dc.identifier.eisbn | 978-3-031-15471-3 | - |
| dc.subject.wos | Science & Technology | - |
| sdum.export.identifier | 12664 | - |
| sdum.journal | Lecture Notes in Artificial Intelligence (subseries of Lecture Notes in Computer Science) | por |
| sdum.conferencePublication | HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2022 | por |
| sdum.bookTitle | HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2022 | por |
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Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| HAIS6.pdf Acesso restrito! | 298,53 kB | Adobe PDF | Ver/Abrir |
