| Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks MD Prieto, G Cirrincione, AG Espinosa, JA Ortega, H Henao IEEE Transactions on Industrial Electronics 60 (8), 3398-3407, 2012 | 522 | 2012 |
| A new experimental application of least-squares techniques for the estimation of the induction motor parameters M Cirrincione, M Pucci, G Cirrincione, GA Capolino IEEE Transactions on Industry Applications 39 (5), 1247-1256, 2003 | 192 | 2003 |
| The MCA EXIN neuron for the minor component analysis G Cirrincione, M Cirrincione, J Herault, S Van Huffel IEEE Transactions on Neural Networks 13 (1), 160-187, 2002 | 155 | 2002 |
| Wind speed spatial estimation for energy planning in Sicily: A neural kriging application M Cellura, G Cirrincione, A Marvuglia, A Miraoui Renewable energy 33 (6), 1251-1266, 2008 | 128 | 2008 |
| A new adaptive integration methodology for estimating flux in induction machine drives M Cirrincione, M Pucci, G Cirrincione, GA Capolino IEEE Transactions on Power Electronics 19 (1), 25-34, 2004 | 121 | 2004 |
| Wind speed spatial estimation for energy planning in Sicily: Introduction and statistical analysis M Cellura, G Cirrincione, A Marvuglia, A Miraoui Renewable energy 33 (6), 1237-1250, 2008 | 120 | 2008 |
| Diagnosis of broken-bars fault in induction machines using higher order spectral analysis L Saidi, F Fnaiech, H Henao, GA Capolino, G Cirrincione ISA transactions 52 (1), 140-148, 2013 | 98 | 2013 |
| A new analytical and dynamical model of a scroll compressor with experimental validation B Blunier, G Cirrincione, Y Hervé, A Miraoui International Journal of Refrigeration 32 (5), 874-891, 2009 | 95 | 2009 |
| Sensorless control of induction machines by a new neural algorithm: The TLS EXIN neuron M Cirrincione, M Pucci, G Cirrincione, GA Capolino IEEE Transactions on Industrial Electronics 54 (1), 127-149, 2007 | 93 | 2007 |
| An adaptive speed observer based on a new total least-squares neuron for induction machine drives M Cirrincione, M Pucci, G Cirrincione, GA Capolino IEEE transactions on industry applications 42 (1), 89-104, 2006 | 80 | 2006 |
| Constrained minimization for parameter estimation of induction motors in saturated and unsaturated conditions M Cirrincione, M Pucci, G Cirrincione, GA Capolino IEEE Transactions on Industrial Electronics 52 (5), 1391-1402, 2005 | 74 | 2005 |
| A new TLS-based MRAS speed estimation with adaptive integration for high-performance induction machine drives M Cirrincione, M Pucci, G Cirrincione, GA Capolino IEEE Transactions on Industry Applications 40 (4), 1116-1137, 2004 | 72 | 2004 |
| Sensorless control of induction motors by reduced order observer with MCA EXIN+ based adaptive speed estimation M Cirrincione, M Pucci, G Cirrincione, GA Capolino IEEE Transactions on Industrial Electronics 54 (1), 150-166, 2007 | 64 | 2007 |
| A new direct torque control strategy for the minimization of common-mode emissions M Cirrincione, M Pucci, G Vitale, G Cirrincione IEEE Transactions on Industry Applications 42 (2), 504-517, 2006 | 64 | 2006 |
| Estimation of wind velocity over a complex terrain using the generalized mapping regressor M Beccali, G Cirrincione, A Marvuglia, C Serporta Applied Energy 87 (3), 884-893, 2010 | 52 | 2010 |
| Against the convergence of the minor component analysis neurons A Taleb, G Cirrincione IEEE transactions on neural networks 10 (1), 207-210, 1999 | 52 | 1999 |
| A novel approach for modeling the internal behavior of a PEMFC by using electrical circuits A Mohammadi, G Cirrincione, A Djerdir, D Khaburi International Journal of Hydrogen Energy 43 (25), 11539-11549, 2018 | 45 | 2018 |
| Multimodel optimization based on the response surface of the reduced FEM simulation model with application to a PMSM S Giurgea, D Fodorean, G Cirrincione, A Miraoui, M Cirrincione IEEE Transactions on Magnetics 44 (9), 2153-2157, 2008 | 44 | 2008 |
| Vision transformer for femur fracture classification L Tanzi, A Audisio, G Cirrincione, A Aprato, E Vezzetti Injury 53 (7), 2625-2634, 2022 | 42 | 2022 |
| A comparison of deep learning techniques for arterial blood pressure prediction A Paviglianiti, V Randazzo, S Villata, G Cirrincione, E Pasero Cognitive Computation 14 (5), 1689-1710, 2022 | 40 | 2022 |
Maurizio Cirrincioneprofessor of Control Systems, UTBM, USPVerified email at usp.ac.fj
