DocumentCode :
1275121
Title :
Optimal design of a coil arrangement for the identification of hidden ferrous objects
Author :
Renhart, W. ; Magele, C.
Author_Institution :
Inst. for Fundamentals & Theor. in Electr. Eng., Graz Univ. of Technol., Austria
Volume :
38
Issue :
2
fYear :
2002
fDate :
3/1/2002 12:00:00 AM
Firstpage :
1121
Lastpage :
1124
Abstract :
The process of identifying unknown hidden objects, such as the detection of electrical conductors in concrete by taking advantage of electromagnetic effects, is becoming more important. Magnetization and eddy currents are the electromagnetic phenomena which are exploited in general. In this case, the layout and arrangement of the exciting coils and receiving coils crucially influences effectiveness and accuracy. When designing an optimal device, the electromagnetic field has to be simulated over and over, which requires an enormous number of three-dimensional finite-element calculations. One way to overcome this problem is to approximate the electromagnetic data necessary for the identification by a neural network. Investigations on a ferrous conductive rod are described
Keywords :
backpropagation; buried object detection; coils; eddy currents; electrical engineering computing; feedforward neural nets; finite element analysis; inverse problems; Levenberg-Marquardt back propagation algorithm; eddy currents; electrical conductor detection; electromagnetic effects; electromagnetic field simulation; exciting coils; feedforward neural network; ferrous conductive rod; hidden ferrous object identification; magnetization; neural network; optimal coil design; receiving coils; three-dimensional finite element calculations; Coils; Computer networks; Eddy currents; Finite element methods; Magnetic field measurement; Magnetization; Neural networks; Numerical models; Signal processing; Voltage;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/20.996287
Filename :
996287
Link To Document :
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