A neural network approach for the solution of electric and magnetic inverse problems

Journal Article · Thu Sep 01 00:00:00 EDT 1994 · IEEE Transactions on Magnetics (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/20.312527· OSTI ID:6982623

Coccorese, E; Morabito, F C ^[1]; Martone, R ^[2]

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1. Univ. of Reggio Calabria (Italy). Istituto di Ingegneria Elettronica
2. Univ. di Salerno (Italy). Dipartimento di Ingegneria Elettronica

Multilayer neural networks, trained via the back-propagation rule, are proved to provide an efficient means for solving electric and/or magnetic inverse problems. The underlying model of the system is learned by the network by means of a dataset defining the relationship between input and output parameters. The merits of the method are illustrated at the light of three example cases. The first two samples deal with inverse electrostatic problems which are relevant for nondestructive testing applications. In a first problem, a boss on an earthed plane is identified on the basis of the map of potential produced by a point charge. In the second problem, the geometric parameters of an ellipsoid carrying an electric charge are identified. In both cases, database of simulated measurements has been generated thanks to the available analytical solutions. As a sample magnetic inverse problem, the identification of a circular plasma in a tokamak device from external flux measurements is carried out. The results achieved show that the method here proposed is promising for technically meaningful applications.

• OSTI ID: 6982623
• Journal Information: IEEE Transactions on Magnetics (Institute of Electrical and Electronics Engineers); (United States), Vol. 30:5; ISSN 0018-9464
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
70 PLASMA PHYSICS AND FUSION TECHNOLOGY
NONDESTRUCTIVE TESTING
NEURAL NETWORKS
PLASMA DIAGNOSTICS
TOKAMAK DEVICES
DEFECTS
MAGNETIC FLUX
CLOSED PLASMA DEVICES
MATERIALS TESTING
TESTING
THERMONUCLEAR DEVICES
420500* - Engineering- Materials Testing
990200 - Mathematics & Computers
700320 - Plasma Diagnostic Techniques & Instrumentation- (1992-)