Eddy-current test data analysis using neural networks
Journal Article
·
· Transactions of the American Nuclear Society
OSTI ID:75906
- Univ. of Tennessee, Knoxville, TN (United States)
For effective (low-error) artifact type classification and estimation of parameters, it is necessary to identify proper feature vectors using various data representation methods. The integration of data compression and artificial neural networks for information processing was established as an effective technique for the automation of diagnostics of power plant components using eddy-current test data. In this study, steam generator tubing was utilized to evaluate this technology.
- OSTI ID:
- 75906
- Report Number(s):
- CONF-940602--
- Journal Information:
- Transactions of the American Nuclear Society, Journal Name: Transactions of the American Nuclear Society Vol. 70; ISSN 0003-018X; ISSN TANSAO
- Country of Publication:
- United States
- Language:
- English
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