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A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions.

, , , , , , , and . Neurocomputing, (2016)

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A Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications., , and . ICSOC, volume 11895 of Lecture Notes in Computer Science, page 202-215. Springer, (2019)An autonomic traffic analysis proposal using Machine Learning techniques., , , and . MEDES, page 273-280. ACM, (2017)Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis., , , , , and . IEEE Access, (2022)Methodological framework for data processing based on the Data Science paradigm., , , , and . CLEI, page 1-12. IEEE, (2014)A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions., , , , , , , and . Neurocomputing, (2016)A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification., , , , , , , and . Knowl. Based Syst., (2017)A fuzzy transition based approach for fault severity prediction in helical gearboxes., , , , , and . Fuzzy Sets Syst., (2018)A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery., , , , , and . LA-CCI, page 1-6. IEEE, (2016)Methodology for detecting the feasibility of using data mining in an organization., , , , and . CLEI, page 1-12. IEEE, (2013)A comparison of fuzzy clustering algorithms for bearing fault diagnosis., , , , , , and . J. Intell. Fuzzy Syst., 34 (6): 3565-3580 (2018)