Search Results - Benalcazar-Parra, Carlos

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  1. 1
    Detecting bearing failures in wind energy parks: A main bearing early damage detection method using SCADA data and a convolutional autoencoder

    Detecting bearing failures in wind energy parks: A main bearing early damage detection method using SCADA data and a convolutional autoencoder by Tutivén, Christian, Encalada‐Dávila, Ángel, Vidal, Yolanda, Benalcázar‐Parra, Carlos

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  2. 2
    Wind Turbine Main Bearing Failure Prediction using a Hybrid Neural Network

    Wind Turbine Main Bearing Failure Prediction using a Hybrid Neural Network by Bermúdez, Karen, Ortiz-Holguin, Eduardo, Tutivén, Christian, Vidal, Yolanda, Benalcázar-Parra, Carlos

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  3. 3
    SCADA Data-Driven Wind Turbine Main Bearing Fault Prognosis Based on Principal Component Analysis

    SCADA Data-Driven Wind Turbine Main Bearing Fault Prognosis Based on Principal Component Analysis by Campoverde, Lorena, Tutivén, Christian, Vidal, Yolanda, Benaláazar-Parra, Carlos

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  4. 4
    Electrohysterographic characterization of the uterine myoelectrical response to labor induction drugs

    Electrohysterographic characterization of the uterine myoelectrical response to labor induction drugs by Benalcazar-Parra, Carlos, Ye-Lin, Yiyao, Garcia-Casado, Javier, Monfort-Orti, Rogelio, Alberola-Rubio, Jose, Perales, Alfredo, Prats-Boluda, Gema

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  5. 5
    Comparison of labour induction with misoprostol and dinoprostone and characterization of uterine response based on electrohysterogram

    Comparison of labour induction with misoprostol and dinoprostone and characterization of uterine response based on electrohysterogram by Benalcazar-Parra, Carlos, Monfort-Orti, Rogelio, Ye-Lin, Yiyao, Prats-Boluda, Gema, Alberola-Rubio, Jose, Perales, Alfredo, Garcia-Casado, Javier

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  6. 6
    New electrohysterogram-based estimators of intrauterine pressure signal, tonus and contraction peak for non-invasive labor monitoring

    New electrohysterogram-based estimators of intrauterine pressure signal, tonus and contraction peak for non-invasive labor monitoring by Benalcazar-Parra, Carlos, Garcia-Casado, Javier, Ye-Lin, Yiyao, Alberola-Rubio, Jose, Lopez, Ángel, Perales-Marin, Alfredo, Prats-Boluda, Gema

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  7. 7
    Prediction of Labor Induction Success from the Uterine Electrohysterogram

    Prediction of Labor Induction Success from the Uterine Electrohysterogram by Prats-Boluda, Gema, Alberola-Rubio, J., Monfort-Ortiz, Rogelio, Garcia-Casado, Javier, Ye-Lin, Y., Benalcazar-Parra, Carlos, Perales-Marín, Alfredo

    Published in Journal of sensors
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