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