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A Statistical Model for Eddy‐Current Signals from Steam Generator Tubes
AIP Conference Proceedings
  • Aleksandar Dogandžić, Iowa State University
  • Ping Xiang, Iowa State University
Document Type
Conference Proceeding
Publication Date
We propose a model for characterizing amplitude and phase probability distributions of eddy‐current signals. The squared amplitudes and phases of the potential defect signals are modeled as independent, identically distributed (i.i.d.) random variables following gamma and von Mises distributions, respectively. We derive a maximum likelihood (ML) method for estimating the amplitude and phase distribution parameters from measurements corrupted by additive complex white Gaussian noise. Newton‐Raphson iteration is utilized to compute the ML estimates of the unknown parameters. The obtained estimates can be used for flaw detection as well as efficient feature extractors in a defect classification scheme. Finally, we apply the proposed method to analyze rotating‐probe eddy‐current data from tube inspection of a steam generator in a nuclear power plant.

The following article appeared in AIP Conference Proceedings 700 (2004): 605 and may be found at doi:10.1063/1.1711677.

Copyright 2004 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics.
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American Institute of Physics
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Citation Information
Aleksandar Dogandžić and Ping Xiang. "A Statistical Model for Eddy‐Current Signals from Steam Generator Tubes" AIP Conference Proceedings Vol. 700 (2004) p. 605 - 612
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