Title :
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
fDate :
3/1/1993 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
