A generalized likelihood ratio technique for automated analysis of bobbin coil eddy current data

M. Das, H. Shekhar, X. Liu, Robi Polikar, P. Ramuhalli, L. Udpa, S. Udpa

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This paper presents a generalized likelihood ratio technique for detection of defect locations from bobbin coil eddy current data. First a Neyman-Pearson (NP) decision rule for detection of known random signals (in presence of noise) is discussed. The result is then generalized to the problem of detection of unknown random signals that are commonly found in bobbin coil eddy current data. The performance of the proposed detection technique is tested on several real world data sets collected from the steam generator tubes of nuclear power plants. The experimental results indicate that the method is quite promising and useful for automated processing and classification of eddy current data.

Original languageEnglish (US)
Pages (from-to)329-336
Number of pages8
JournalNDT and E International
Volume35
Issue number5
DOIs
StatePublished - Jul 1 2002

Fingerprint

Bobbins
likelihood ratio
Eddy currents
eddy currents
coils
random signals
Steam generators
Nuclear power plants
nuclear power plants
boilers
Defects
tubes
Processing
defects

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanical Engineering

Cite this

Das, M. ; Shekhar, H. ; Liu, X. ; Polikar, Robi ; Ramuhalli, P. ; Udpa, L. ; Udpa, S. / A generalized likelihood ratio technique for automated analysis of bobbin coil eddy current data. In: NDT and E International. 2002 ; Vol. 35, No. 5. pp. 329-336.
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A generalized likelihood ratio technique for automated analysis of bobbin coil eddy current data. / Das, M.; Shekhar, H.; Liu, X.; Polikar, Robi; Ramuhalli, P.; Udpa, L.; Udpa, S.

In: NDT and E International, Vol. 35, No. 5, 01.07.2002, p. 329-336.

Research output: Contribution to journalArticle

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