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Deep Learning Applied to SFRA Results: A Preliminary Study
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由 G Bucci 著作2021被引用 10 次 — Abstract. The SFRA (Sweep Frequency Response Analysis) is a measurement technique that allows to evaluate the integrity of power transformers.
Deep Learning Applied to SFRA Results: A Preliminary Study
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2021年10月7日 — The measurement and post-processing techniques used are illustrated and the results discussed. In addition, the work discusses the use of the ...
Deep Learning Applied to SFRA Results: A Preliminary Study
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由 G Bucci 著作2021被引用 10 次 — The work reports the results obtained by a Deep Learning system applied to the recognition of household appliances through the use of this analysis.
Deep Learning Applied to SFRA Results: A Preliminary Study
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The possibility of using TFs, obtained by applying the SFRA technique, as an input to Deep Learning algorithms, in order to create systems capable of making ...
Deep Learning Applied to SFRA Results: A Preliminary Study | CoLab
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This article illustrates the possibility of using TFs, obtained by applying the SFRA technique, as an input to Deep Learning algorithms, in order to create ...
Application of SFRA for diagnostics on medical isolation ...
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由 G Bucci 著作2020被引用 15 次 — Deep Learning Applied to SFRA Results: A Preliminary Study. 2021, ACM International Conference Proceeding Series. A Numerical Study on the Extinguishing ...
A New NILM System Based on the SFRA Technique and ...
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由 S Mari 著作2023被引用 4 次 — The proposed technique involves the processing of the traces obtained by a measurement system based on Sweep Frequency Response Analysis (SFRA) through a ...
SFRA test of a transformer (left) and an asynchronous motor...
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Multi-label classification results. Deep Learning Applied to SFRA Results: A Preliminary Study. Conference Paper. Full-text available. Apr 2021.
Deep Learning Applied To Sfra Results: A Preliminary Study - 搜只猫
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The SFRA (Sweep Frequency Response Analysis) is a measurement technique that allows to evaluate the integrity of power transformers. The goal of SFRA is to ...
Online SFRA for Reliability of Power Systems
National Institutes of Health (NIH) (.gov)
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由 G Bucci 著作2023被引用 10 次 — This paper proposes an innovative predictive monitoring system based on the online sweep frequency response analysis (SFRA) technique.