Numerical model based approach for estimating probability of detection in NDE applications

Author

Rajesh, S.N. ; Udpa, L. ; Udpa, S.S.

Author_Institution

Center for Nondestructive Evaluation, Iowa State Univ., Ames, IA, USA

Volume

29

Issue

2

fYear

1993

fDate

3/1/1993 12:00:00 AM

Firstpage

1857

Lastpage

1860

Abstract

A method for using a numerical model in a probabilistic framework for estimating the probability of detecting a flaw in the presence of measurement variabilities is presented. The approach used centers around a measurement model which is based on the finite-element analysis of the eddy current nondestructive testing (NDT) phenomenon. The probability of detection (POD) model consists of modeling the different sources of measurement variabilities by a multivariate Gaussian distribution about a mean vector and a diagonal covariance matrix. The effects of various sources of noise in a practical eddy current NDT situation have been studied. Results obtained show that the probability of detecting a flaw is decreased as a consequence of the measurement variabilities

Keywords

eddy current testing; finite element analysis; flaw detection; probability; NDE applications; diagonal covariance matrix; eddy current nondestructive testing; finite-element analysis; flaw detection; mean vector; measurement variabilities; multivariate Gaussian distribution; noise sources; numerical model; probabilistic framework; probability of detection model; Conducting materials; Current measurement; Density measurement; Eddy currents; Finite element methods; Inspection; Nondestructive testing; Numerical models; Predictive models; Transducers;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.250768

Filename

250768