Random forest algorithm in determining the viability of the implementation of synchronous rectification/operation in power electronic converters

Autor:	Emilian Bekov, Firgan Feradov, Angel Marinov, Toncho Papanchev
Rok vydání:	2020
Předmět:	Rectification Computer science Power electronics Electronic engineering Topology (electrical circuits) Converters computer.software_genre computer Expert system Power (physics) Random forest Test data
Zdroj:	2020 International Conference Automatics and Informatics (ICAI).
DOI:	10.1109/icai50593.2020.9311322
Popis:	The paper presents the implementation of random forest algorithm applied to decision making, when designing power electronic converters. The algorithm is used to aid topology selection and more specifically provide guidance in choosing synchronous operation/rectification or conventional diode application. The presented algorithm can be applied to both isolated and non-isolated converters – an example with an isolated converter is provided. All the steps of the algorithm are described in detail, including training and testing data composition and overall execution. Verification and accuracy assessment is provided.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f54c36ca48879a2203eed7ff57198e4d https://doi.org/10.1109/icai50593.2020.9311322 Zobrazit plný text záznamu