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Disambiguation of "de Sá Medeiros, Cláudio Marques"

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A Comparison of Machine Learning Methods to Identify Broken Bar Failures in Induction Motors Using Statistical Moments.

, , and . ISDA, volume 736 of Advances in Intelligent Systems and Computing, page 124-133. Springer, (2017)

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Bailon Sá

José Carlos de Medeiros Nóbrega

Antonio Gomes Sá

Desirée Rocha Sá

Abdulrahman Sà Sà

 

Other publications of authors with the same name

A Comparison of Machine Learning Methods to Identify Broken Bar Failures in Induction Motors Using Statistical Moments., , and . ISDA, volume 736 of Advances in Intelligent Systems and Computing, page 124-133. Springer, (2017)A reliable approach for detection of incipient faults of short-circuits in induction generators using machine learning., , , , and . Comput. Electr. Eng., (2018)Machine learning and multiresolution decomposition for embedded applications to detect short-circuit in induction motors., , and . Comput. Ind., (2021)Embedding a Neural Classifier to Detect Faults in a Three-Phase Induction Motor., , , and . SBESC, page 136-143. IEEE Computer Society, (2016)Energy production predication via Internet of Thing based machine learning system., , , , , and . Future Gener. Comput. Syst., (2019)Detection and classification of faults in induction generator applied into wind turbines through a machine learning approach., , , and . IJCNN, page 1-7. IEEE, (2018)Estimation of the Energy Production in a Wind Farm Using Regression Methods and Wind Speed Forecast., , , , and . BRACIS, page 79-84. IEEE Computer Society, (2018)Estimation of global solar irradiance with LDR sensor and artificial neural network embedded in an 8-bit microcontroller., , , and . IJCNN, page 1-8. IEEE, (2018)An Embedded Application to Identify Degradation in Energized Polymeric Insulators Using Machine Learning and Wavelet Transform., , and . SBESC, page 46-53. IEEE, (2018)