Document Type
Conference Proceeding
Publication Date
2004
Journal or Book Title
AIP Conference Proceedings
Volume
700
First Page
605
Last Page
612
DOI
10.1063/1.1711677
Abstract
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.
Rights
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.
Copyright Owner
American Institute of Physics
Copyright Date
2004
Language
en
File Format
application/pdf
Recommended Citation
Dogandžić, Aleksandar and Xiang, Ping, "A Statistical Model for Eddy‐Current Signals from Steam Generator Tubes" (2004). Electrical and Computer Engineering Publications. 38.
https://lib.dr.iastate.edu/ece_pubs/38
Included in
Electrical and Computer Engineering Commons, Multivariate Analysis Commons, Nuclear Engineering Commons, Statistical Models Commons
Comments
The following article appeared in AIP Conference Proceedings 700 (2004): 605 and may be found at doi:10.1063/1.1711677.