A Bayesian Network Method for Quantitative Evaluation of Defects in Multilayered Structures from Eddy Current NDT Signals
Joint Authors
Zeng, Fang
Zhang, Wenying
Dong, Jun
Ye, Bo
Qiu, Gefei
Shan, Jieshan
Shu, Hongchun
Cao, Min
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-25
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Accurate evaluation and characterization of defects in multilayered structures from eddy current nondestructive testing (NDT) signals are a difficult inverse problem.
There is scope for improving the current methods used for solving the inverse problem by incorporating information of uncertainty in the inspection process.
Here, we propose to evaluate defects quantitatively from eddy current NDT signals using Bayesian networks (BNs).
BNs are a useful method in handling uncertainty in the inspection process, eventually leading to the more accurate results.
The domain knowledge and the experimental data are used to generate the BN models.
The models are applied to predict the signals corresponding to different defect characteristic parameters or to estimate defect characteristic parameters from eddy current signals in real time.
Finally, the estimation results are analyzed.
Compared to the least squares regression method, BNs are more robust with higher accuracy and have the advantage of being a bidirectional inferential mechanism.
This approach allows results to be obtained in the form of full marginal conditional probability distributions, providing more information on the defect.
The feasibility of BNs presented and discussed in this paper has been validated.
American Psychological Association (APA)
Ye, Bo& Shu, Hongchun& Cao, Min& Zeng, Fang& Qiu, Gefei& Dong, Jun…[et al.]. 2014. A Bayesian Network Method for Quantitative Evaluation of Defects in Multilayered Structures from Eddy Current NDT Signals. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-469495
Modern Language Association (MLA)
Ye, Bo…[et al.]. A Bayesian Network Method for Quantitative Evaluation of Defects in Multilayered Structures from Eddy Current NDT Signals. Mathematical Problems in Engineering No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-469495
American Medical Association (AMA)
Ye, Bo& Shu, Hongchun& Cao, Min& Zeng, Fang& Qiu, Gefei& Dong, Jun…[et al.]. A Bayesian Network Method for Quantitative Evaluation of Defects in Multilayered Structures from Eddy Current NDT Signals. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-469495
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469495