Mirko Mazzoleni
Researching in system identification, data science and fault diagnosis-
Condition monitoring of electro-mechanical actuators for aerospace using batch change detection algorithms
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Identification of nonlinear dynamical system with synthetic data: a preliminary investigation
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Condition assessment of electro-mechanical actuators for aerospace using relative density-ratio estimation
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Development and Experimental Testing of a Health Monitoring System of Electro-Mechanical Actuators for Small Airplanes
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Semi-supervised learning of dynamical systems: a preliminary study
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Kernel manifold regression for the coupled electric drives dataset