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Modeling faulted switched reluctance motors using evolutionary neural networks
IEEE Transactions on Industrial Electronics
◽
10.1109/41.564161
◽
1997
◽
Vol 44
(2)
◽
pp. 226-233
◽
Cited By ~ 28
Author(s):
L.A. Belfore
◽
A.-R.A. Arkadan
Keyword(s):
Neural Networks
◽
Switched Reluctance Motors
◽
Switched Reluctance
◽
Evolutionary Neural Networks
Download Full-text
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References
Modeling faulted switched reluctance motors using evolutionary neural networks
Proceedings of IECON'94 - 20th Annual Conference of IEEE Industrial Electronics
◽
10.1109/iecon.1994.397972
◽
2002
◽
Cited By ~ 2
Author(s):
L.A. Belfore
◽
A.A. Arkadan
Keyword(s):
Neural Networks
◽
Switched Reluctance Motors
◽
Switched Reluctance
◽
Evolutionary Neural Networks
Download Full-text
Analysis and Classification of Faults in Switched Reluctance Motors Using Deep Learning Neural Networks
Arabian Journal for Science and Engineering
◽
10.1007/s13369-020-05051-y
◽
2020
◽
Author(s):
E. Fantin Irudaya Raj
◽
M. Balaji
Keyword(s):
Neural Networks
◽
Deep Learning
◽
Switched Reluctance Motors
◽
Switched Reluctance
Download Full-text
Minimum inductance estimation in switched reluctance motors by using artificial neural networks
11th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.02CH37379)
◽
10.1109/melecon.2002.1014549
◽
2003
◽
Cited By ~ 2
Author(s):
K. Yilmaz
◽
E. Mese
◽
A. Cengiz
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Switched Reluctance Motors
◽
Switched Reluctance
◽
Artificial Neural
Download Full-text
Modeling and parameter identification of switched reluctance motors from operating data using neural networks
IEEE International Electric Machines and Drives Conference, 2003. IEMDC'03.
◽
10.1109/iemdc.2003.1210682
◽
2003
◽
Cited By ~ 3
Author(s):
W. Lu
◽
A. Keyhani
◽
H. Klode
◽
A.B. Proca
Keyword(s):
Neural Networks
◽
Parameter Identification
◽
Switched Reluctance Motors
◽
Switched Reluctance
◽
Operating Data
Download Full-text
Mathematical Modeling of Flux-Linkage Characteristics of Switched Reluctance Motors Using Polynomial Neural Networks
2006 IEEE International Power and Energy Conference
◽
10.1109/pecon.2006.346680
◽
2006
◽
Cited By ~ 1
Author(s):
R. Vejian Rajandran
◽
N. C. Sahoo
◽
R. Gobbi
Keyword(s):
Mathematical Modeling
◽
Neural Networks
◽
Flux Linkage
◽
Switched Reluctance Motors
◽
Switched Reluctance
Download Full-text
Commutation signal identification for switched reluctance motors based on fuzzy neural networks
2008 IEEE International Conference on Automation and Logistics
◽
10.1109/ical.2008.4636239
◽
2008
◽
Cited By ~ 1
Author(s):
Changliang Xia
◽
Fuchen Jia
◽
Mei Xue
◽
Hongwei Fang
Keyword(s):
Neural Networks
◽
Fuzzy Neural Networks
◽
Signal Identification
◽
Switched Reluctance Motors
◽
Switched Reluctance
◽
Fuzzy Neural
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Online Modeling for Switched Reluctance Motors Using B-Spline Neural Networks
IEEE Transactions on Industrial Electronics
◽
10.1109/tie.2007.904009
◽
2007
◽
Vol 54
(6)
◽
pp. 3317-3322
◽
Cited By ~ 56
Author(s):
Zhengyu Lin
◽
Donald S. Reay
◽
Barry W. Williams
◽
Xiangning He
Keyword(s):
Neural Networks
◽
Switched Reluctance Motors
◽
Switched Reluctance
◽
B Spline
◽
Online Modeling
Download Full-text
Nonlinear estimation of torque in switched reluctance motors using grid locking and preferential training techniques on self-organizing neural networks
[Proceedings 1992] IJCNN International Joint Conference on Neural Networks
◽
10.1109/ijcnn.1992.226887
◽
2003
◽
Cited By ~ 3
Author(s):
J.J. Garside
◽
R.H. Brown
◽
T.L. Ruchti
◽
X. Feng
Keyword(s):
Neural Networks
◽
Nonlinear Estimation
◽
Switched Reluctance Motors
◽
Switched Reluctance
◽
Training Techniques
◽
Self Organizing
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Sensorless position estimation of switched reluctance motors using artificial neural networks
IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003
◽
10.1109/rissp.2003.1285577
◽
2004
◽
Cited By ~ 5
Author(s):
T. Lachman
◽
T.R. Mohamad
◽
S.P. Teo
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Position Estimation
◽
Switched Reluctance Motors
◽
Switched Reluctance
◽
Artificial Neural
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Adapting CMAC neural networks with constrained LMS algorithm for efficient torque ripple reduction in switched reluctance motors
IEEE Transactions on Control Systems Technology
◽
10.1109/87.772156
◽
1999
◽
Vol 7
(4)
◽
pp. 401-413
◽
Cited By ~ 13
Author(s):
Changjing Shang
◽
D. Reay
◽
B. Williams
Keyword(s):
Neural Networks
◽
Torque Ripple
◽
Lms Algorithm
◽
Switched Reluctance Motors
◽
Switched Reluctance
◽
Torque Ripple Reduction
◽
Ripple Reduction
Download Full-text
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