DocumentCode :
830576
Title :
Cellular neural networks for eddy current problems
Author :
Feria, Y.J. ; McPherson, J.D. ; Rolling, D.J.
Author_Institution :
Wisconsin Univ., Milwaukee, WI, USA
Volume :
6
Issue :
1
fYear :
1991
fDate :
1/1/1991 12:00:00 AM
Firstpage :
187
Lastpage :
195
Abstract :
Use of the finite-element analysis (FEA) run on digital computers for solving eddy current problems suffers from two serious drawbacks. First, due to the serial processing nature of digital computers, analysis is often time consuming. Second, widespread access to better developed commercial software is limited by its high cost. A new high-speed, parallel-processing alternative is presented with an inexpensive simulation option, based on cellular neural networks. This alternative has potential applications to a broad area of problems which can be described by partial-differential or integro-differential equations. Examples are problems in heat transfer and electromagnetic fields
Keywords :
eddy currents; electrical engineering computing; integro-differential equations; neural nets; partial differential equations; virtual machines; cellular neural networks; eddy current problems; electromagnetic fields; heat transfer; high-speed parallel processing; integro-differential equations; partial differential equations; Application software; Cellular neural networks; Computational modeling; Costs; Eddy currents; Electromagnetic fields; Electromagnetic heating; Finite element methods; Heat transfer; Integrodifferential equations;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/61.103737
Filename :
103737
Link To Document :
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