A Python based power electronics E-learning tool

Goldemberg, C.; Pellini, Eduardo Lorenzetti; Kaiser, Walter; Komatsu, Wilson

doi:10.1109/cobep.2009.5347748

Cited by 9 publications

(3 citation statements)

References 1 publication

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“…Goldemberg et al presented a Python-based tool for power electronics and electrical drives education, emphasizing simulation's role in active learning. The tool facilitates the students' understanding of power electronics circuits, providing hands-on experience in analyzing steady-state waveforms, their mean and RMS values, and exploring electrical machine principles through animation [26].…”

Section: Introductionmentioning

confidence: 99%

An Interactive Pedagogical Tool for Simulation of Controlled Rectifiers

Carvalho,

Chibante,

Vaz de Carvalho

2024

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Active learning approaches, incorporating student engagement through experimentation and problem solving, effectively foster higher-level thinking abilities and enhance academic performance. Interactive tools like simulators align with these methodologies, but commercially available simulators have limitations; particularly, their high cost and lack of customization features pose significant challenges for many educational institutions. This article presents CORES, a web-based educational application designed to simulate controlled rectifier circuits. CORES eliminates the need for intricate circuit assembly and software installation by providing pre-built circuits so that users can concentrate on analyzing circuit behavior by manipulating the thyristor firing angle and load characteristics, while the application generates output voltage and current waveforms under steady-state conditions, minimizing computation time. CORES has proven to be a valuable pedagogical tool, surpassing commercial simulators in terms of accessibility, ease of use, and enriched learning experiences for power electronics students and educators.

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Section: Introductionmentioning

confidence: 99%

An Interactive Pedagogical Tool for Simulation of Controlled Rectifiers

Carvalho,

Chibante,

Vaz de Carvalho

2024

Information

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“…By utilizing powerful predictive algorithms, machine learning can minimize energy usage, improve power system performance, and detect and prevent system breakdowns. As a result, the field of power electronics has incorporated machine learning, creating new opportunities for advancement and innovation [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Applications of Machine Learning in Power Electronics: A Specialization on Convolutional Neural Networks

Khashroum,

Rahimighazvini,

Bahrami

2023

ENGT

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Recently, there has been a lot of interest in integrating machine learning methods, specifically Convolutional Neural Networks (CNNs), with power electronics. An overview of the many developments and applications at the nexus of machine learning and power electronics is given in this review paper. We investigate how CNNs might help power electronics systems overcome obstacles and become more reliable and efficient. The study reviews the state of the field now and identifies areas for potential future research. According to the study, machine learning-especially Convolutional Neural Networks (CNNs)-is a promising field in electrical engineering with substantial promise for defect detection, classification, and pattern recognition when integrated into power electronics. Future directions emphasize integrating data sources, expanding real-time implementation, and optimizing the integration of renewable energy sources for higher efficiency and sustainability in power electronics. Challenges include the requirement for high-quality data and real-time implementation.

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“…On the other hand, these tools sometimes can be complex to use, and to facilitate the understanding in PE many researchers developed simulations tools specifically for PE, in order to illustrate the contents in an interactive, attractive and easy way. Furthermore, this environment can easily incorporate the latest hypermedia technologies (interactive simulations, videos/sounds, and databases, remote controlled instruments) to compose and to manage educational courses, virtual laboratories and virtual classrooms [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Power Electronics course: Analysis and evaluation of the educational software and the environment learning

Sampaio

Brito

Melo

et al. 2011

XI Brazilian Power Electronics Conference

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This paper presents the analysis and evaluation of the Power Electronics course at São Paulo State University-UNESP-Campus of Ilha Solteira(SP)-Brazil, which includes the usage of interactive Java simulations tools and an educational software to aid the teaching of power electronic converters. This platform serves as an oriented course for the lectures and supplementary support for laboratory experiments in the power electronics courses. The simulation tools provide an interactive and dynamic way to visualize the power electronics converters behavior together with the educational software, which contemplates the theory and a list of subjects for circuit simulations. In order to verify the performance and the effectiveness of the proposed interactive educational platform, it is presented a statistical analysis considering the last three years.

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A Python based power electronics E-learning tool

Cited by 9 publications

References 1 publication

An Interactive Pedagogical Tool for Simulation of Controlled Rectifiers

An Interactive Pedagogical Tool for Simulation of Controlled Rectifiers

Applications of Machine Learning in Power Electronics: A Specialization on Convolutional Neural Networks

Power Electronics course: Analysis and evaluation of the educational software and the environment learning

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