Abstract
The present research shows the implementation of a classification algorithm applied to power electronics with the aim of detection different operation modes. The analysis of a half-bridge buck converter is done, showing two different working state: hard-switching and soft-switching. A model based on classification methods through intelligence techniques is implemented. This intelligent model is able to differentiate between the two operation modes. Very good results were obtained and high accuracy is achieved with the proposed model.
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Fernandez-Serantes, LA., Casteleiro-Roca, JL., Novais, P., Calvo-Rolle, J.L. (2022). Intelligent System for Switching Modes Detection and Classification of a Half-Bridge Buck Converter. In: Corchado, J.M., Trabelsi, S. (eds) Sustainable Smart Cities and Territories. SSCTIC 2021. Lecture Notes in Networks and Systems, vol 253. Springer, Cham. https://doi.org/10.1007/978-3-030-78901-5_20
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DOI: https://doi.org/10.1007/978-3-030-78901-5_20
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