PATTERN RECOGNITION REFLECTOR CLASSIFICATION FEASIBILITY STUDY IN THE ULTRASONIC INSPECTION OF STAINLESS STEEL PIPE WELDS.

Joseph Lawrence Rose, Gurvinder P. Singh

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

A feasibility study has been conducted in order to evaluate the potential of pattern recognition techniques for discriminating between geometrical and crack reflector signals obtained during ultrasonic inspection of the weld zone in 304 austenitic stainless-steel pipes. The analysis did not consider any arrival time, amplitude information, or in fact, any other time-domain features, but was based on various Fourier Transform features. A 100% reliability level was obtained for discriminating between a crack indication and a crown indication using automated pattern recognition algorithms. The overwhelming success of the pattern recognition algorithm employed in this study demonstrates the applicability of this technique for solving such important problems as discrimination between intergranular stress corrosion cracking and geometric reflectors in 304 stainless-steel pipe-welds. 8 refs.

Original languageEnglish (US)
Pages (from-to)308-311
Number of pages4
JournalBritish Journal of Non-Destructive Testing
Volume21
Issue number6
StatePublished - Nov 1 1979

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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