Analysis of algorithms for velocity estimation from discrete position versus time data RH Brown, SC Schneider, MG Mulligan IEEE Transactions on industrial electronics 39 (1), 11-19, 1992 | 343 | 1992 |
Diagnostics of eccentricities and bar/end-ring connector breakages in polyphase induction motors through a combination of time-series data mining and time-stepping coupled FE … JF Bangura, RJ Povinelli, NAO Demerdash, RH Brown IEEE Transactions on Industry Applications 39 (4), 1005-1013, 2003 | 112 | 2003 |
Short-term load forecasting of natural gas with deep neural network regression GD Merkel, RJ Povinelli, RH Brown Energies 11 (8), 2008, 2018 | 108 | 2018 |
Diagnostics of bar and end-ring connector breakage faults in polyphase induction motors through a novel dual track of time-series data mining and time-stepping coupled FE-state … RJ Povinelli, JF Bangura, NAO Demerdash, RH Brown IEEE Transactions on energy Conversion 17 (1), 39-46, 2002 | 91 | 2002 |
Development of artificial neural network models to predict daily gas consumption RH Brown, I Matin Proceedings of IECON'95-21st Annual Conference on IEEE Industrial …, 1995 | 81 | 1995 |
Mathematical models for natural gas forecasting S Vitullo, RH Brown, GF Corliss, BM Marx Canadian applied mathematics quarterly, 2009 | 72 | 2009 |
On algorithms for velocity estimation using discrete position encoders PS Carpenter, RH Brown, JA Heinen, SC Schneider Proceedings of IECON'95-21st Annual Conference on IEEE Industrial …, 1995 | 54 | 1995 |
Velocity observations from discrete position encoders RH Brown, SC Schneider Signal Acquisition and Processing 858, 1111-1118, 1987 | 41 | 1987 |
Development of feed-forward network models to predict gas consumption RH Brown, P Kharouf, X Feng, LP Piessens, D Nestor Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN …, 1994 | 40 | 1994 |
Robust stability of singularly perturbed state feedback systems using unified approach H Singh, RH Brown, DS Naidu, JA Heinen IEE Proceedings-Control Theory and Applications 148 (5), 391-396, 2001 | 33 | 2001 |
Detrending daily natural gas consumption series to improve short-term forecasts RH Brown, SR Vitullo, GF Corliss, M Adya, PE Kaefer, RJ Povinelli 2015 IEEE Power & Energy Society General Meeting, 1-5, 2015 | 31 | 2015 |
Identification algorithm for systemic arterial parameters with application to total artificial heart control TL Ruchti, RH Brown, DC Jeutter, X Feng Annals of biomedical engineering 21, 221-236, 1993 | 27 | 1993 |
Mathematical Models for Gas Forecasting RH Brown, BM Marx, GF Corliss Departament of Electrical and Computer Engineering. Marquette University …, 2005 | 19 | 2005 |
Artificial neural network identification of partially known dynamic nonlinear systems RH Brown, TL Ruchti, X Feng Proceedings of 32nd IEEE Conference on Decision and Control, 3694-3699, 1993 | 17 | 1993 |
Deep neural network regression for short-term load forecasting of natural gas GD Merkel, RJ Povinelli, RH Brown 37th Annual International Symposium on Forecasting, 246-255, 2017 | 15 | 2017 |
Torque prediction and maximization strategies for bifilar-wound hybrid step motors RH Brown, M Jaroudi IEEE transactions on power electronics 7 (3), 535-541, 1992 | 12 | 1992 |
Gray layer technology: incorporating a priori knowledge into feedforward artificial neural networks RH Brown, TL Ruchti [Proceedings 1992] IJCNN International Joint Conference on Neural Networks 1 …, 1992 | 12 | 1992 |
A damping circuit for chopper driven bifilar hybrid step motors RH Brown, K Srinivas 20th Annual IEEE Power Electronics Specialists Conference, 446-451, 1989 | 12 | 1989 |
Effects of chopping on core losses and inductance profiles of SRM drives AA Arkadan, HH Shehadeh, RH Brown, NAO Demerdash IEEE Transactions on Magnetics 33 (2), 2105-2108, 1997 | 11 | 1997 |
Modeling torque in a switched reluctance motor for adaptive control purposes using self-organizing neural networks JJ Garside, RH Brown, TL Ruchti, X Feng [Proceedings 1992] The First IEEE Conference on Control Applications, 944-949, 1992 | 11 | 1992 |