Modeling faulted switched reluctance motors using evolutionary neural networks

L.A. Belfore; A.-R.A. Arkadan

doi:10.1109/41.564161

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

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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

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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

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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

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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

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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

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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

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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

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