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28. , and S. Hahn (1997). Optimal Design of Induction Heating Devices Using Physical and Geometrical Sensitivity. Proceedings of the Fourth JapanKorea Symposium on Electrical Engineering, Seoul, Korea: 55-58. 29. al. (1994). An inverse analysis for crack identification in eddy current NDT of tubes. IEEE Transactions on Magnetics, vol 30, no5: 3403-3406. 30. , et al. (1997). The application of artificial neural network to defect characterization in eddy current NDT. NDT and E International, vol 30,no5:328.

16. K. Daugavet (1993). Approximation of Nonlinear Operators by Volterra Polynomials. Amer Math Soc Transl (2), vol 155: 47-57. 17. Volterra, V. (1959). Theory of Functional and of Integral and Integro-diffential Equations. NY: Dover Publ. 18. Wiener, N. (1966). Nonlinear problems in random theory. Cambridge: Ma MIT. 19. Eykhoff, P. ed. (1981). Trends and progress in system identification. England: Pergamon, Oxford. 20. Eykhoff, P. (1974). System Identification. London:John Wiley and Sons. 21. V.

03 A are calculated from Eq. 14) and they are essentially closer to the true val- Inverse Problems in Electrical Circuits and Electromagnetic Field Theory 33 ues than originally measured currents. Using thus found /i, /i values, resistances R\ and R2 can be calculated: ^ ^ 1 \ - \ h -\(h : — ^ + ^2) 5 D _ ^0 - W i -\ih ^ - z, + ^2) : 5 ^2 where r. ,r. ,r. are the resistances of ammeters. Use of a priori information allows us to remove ambiguous interpretations of experimental results and to obtain more accurate solutions.

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An Electromagnetic Hypothesis of the Kinetics of Heterogeneous Equilibrium, and of the Structure of by Harkins W. D.


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