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Automatic Defect Characterisation in Ultrasonic NDT

T. Stepinski and F. Lingvall, Uppsala University, Signals and Systems, Uppsala, Sweden

Contact

Introduction

Realistic Test Blocks

Test Block Measurements

Signal Features and Feature Extraction

Defect Classes

Conclusions

Acknowledgement

References

  1. C.G. Windsor, Can we train a Computer to be a Skilled Inspector, Insight, 37, January 1995, p. 36.
  2. A. MacNab and I. Dunlop, Review of Artificial Intelligence Applied to Ultrasonic Defect Evaluation, Insight, 37, January, 1995, p 11.
  3. K. Fukanaga, Introduction to Statistical Pattern Recognition, Academic Press, 1990.
  4. B. Eriksson and T. Stepinski, Ultrasonic Characterization of Defects, Part 2. Theoretical Studies, SKI Report 95:21, Swedish Nuclear Power Inspectorate, 1995.
  5. B. Eriksson, T. Stepinski and B. Vagnhammar, Ultrasonic Characterization of Defects, Part 3.Experimental Verification, SKI Report 96:75, Swedish Nuclear Power Inspectorate, 1996
  6. F. Lingvall, Efficient Data Representations for Eddy Current and Ultrasonic Applications, Lic. Thesis, Uppsala University, Signals and Systems, May 2000.

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