Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis - researchr publication related

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Rahul R. Kumar, Vincenzo Randazzo, Giansalvo Cirrincione, Maurizio Cirrincione, Eros Pasero, Andrea Tortella, Mauro Andriollo. Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis. IEEE Access, 9:2201-2212, 2021. [doi]

The following publications are possibly variants of this publication:

Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction MachinesGiansalvo Cirrincione, Vincenzo Randazzo, Rahul R. Kumar, Maurizio Cirrincione, Eros Pasero. In Anna Esposito, Marcos Faúndez-Zanuy, Francesco Carlo Morabito, Eros Pasero, editors, Neural Approaches to Dynamics of Signal Exchanges. Volume 151 of Smart Innovation, Systems and Technologies, pages 235-244, Springer, 2020. [doi]

The Growing Curvilinear Component Analysis (GCCA) neural networkGiansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero. NN, 103:108-117, 2018. [doi]

Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary DataGiansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero. In Anna Esposito, Marcos Faúndez-Zanuy, Francesco Carlo Morabito, Eros Pasero, editors, Multidisciplinary Approaches to Neural Computing. Volume 69 of Smart Innovation, Systems and Technologies, pages 151-160, Springer, 2018. [doi]

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