Signal Processing and Pattern Recognition in Nondestructive Evaluation of Materials

1. Front Matter

   Pages I-VIII

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2. Research on Inverse Problems

   1. Research on Inverse Problems in Materials Science and Engineering

      • S. J. Norton, J. A. Simmons, A. H. Kahn, H. N. G. Wadley

      Pages 1-21

   2. Advances in Born Inversion

      • L. J. Bond, J. H. Rose, S. J. Wormley, S. P. Neal

      Pages 23-38

3. Digital Waveform Processing in NDE

   1. Modern Signal Processing

      • Simon Haykin

      Pages 39-47

   2. A Split Spectrum Processing Method of Scatterer Density Estimation

      • V. L. Newhouse, GuoYao Yu, Yue Li

      Pages 49-69

   3. Spectral and Spatial Processing Techniques for Improved Ultrasonic Imaging of Materials

      • Nihat M. Bilgutay, Jafar Saniie, Uthai Bencharit

      Pages 71-85

   4. Signal Processing of Ultrasonic Backscattered Echoes for Evaluating the Microstructure of Materials — a Review

      • Jafar Saniie, Nihat M. Bilgutay, Tao Wang

      Pages 87-100

   5. High Resolution Deconvolution of Ultrasonic Traces

      • C. A. Zala, I. Barrodale, K. I. McRae

      Pages 101-108

   6. Non-Destructive Evaluation in the Time-Frequency Domain by Means of the Wigner-Ville Distribution

      • Patrick Flandrin

      Pages 109-116

   7. Pulse Shaping and Extraction of Information from Ultrasonic Reflections in Composite Materials

      • Doron Kishoni

      Pages 117-127

4. Eddy Current Signal Analysis

   1. Signal Processing for Eddy Current Nondestructive Evaluation

      • S. S. Udpa

      Pages 129-144

   2. Eddy Current Modeling and Signal Processing in NDE

      • L. David Sabbagh, Harold A. Sabbagh

      Pages 145-154

5. Pattern Recognition and AI in NDE

   1. High Resolution Spectral Analysis NDE Techniques for Flaw Characterization, Prediction and Discrimination

      • C. H. Chen

      Pages 155-173

   2. Automated Ultrasonic System for Submarine Pressure Hull Inspection

      • Roger W. Y. Chan, D. Robert Hay, James R. Matthews, Heather A. MacDonald

      Pages 175-187

   3. Pattern Recognition of Ultrasonic Signals for Detection of Wall Thinning

      • Vincent Lacasse, John R. Hay, D. Robert Hay

      Pages 189-198

   4. Knowledge Based Systems in Nondestructive Evaluation(a)

      • R. B. Melton

      Pages 199-204

6. 3-D and 2-D Signal Analysis in NDE

   1. Limited-Angle Image Reconstruction in Non-Destructive Evaluation

      • K. C. Tam

      Pages 205-229

   2. The Effects of Limited Data in Multi-Frequency Reflection Diffraction Tomography

      • Mehrdad Soumekh

      Pages 231-239

   3. A 3-D Image Segmentation Algorithm

      • Raj S. Acharya

      Pages 241-255

   4. Processing of thermal images for the detection and enhancement of subsurface flaws in composite materials

      • X. Maldague, J. C. Krapez, P. Cielo, D. Poussart

      Pages 257-285

The NATO Advanced Research Workshop on Signal Processing and Pattern Recognition in Nondestructive Evaluation (NOE) of Materials was held August 19-22, 1987 at the Manoir St-Castin, Lac Beauport, Quebec, Canada. Modern signal processing, pattern recognition and artificial intelligence have been playing an increasingly important role in improving nondestructive evaluation and testing techniques. The cross fertilization of the two major areas can lead to major advances in NOE as well as presenting a new research area in signal processing. With this in mind, the Workshop provided a good review of progress and comparison of potential techniques, as well as constructive discussions and suggestions for effective use of modern signal processing to improve flaw detection, classification and prediction, as well as material characterization. This Proceedings volume includes most presentations given at the Workshop. This publication, like the meeting itself, is unique in the sense that it provides extensive interactions among the interrelated areas of NOE. The book starts with research advances on inverse problems and then covers different aspects of digital waveform processing in NOE and eddy current signal analysis. These are followed by four papers of pattern recognition and AI in NOE, and five papers of image processing and reconstruction in NOE. The last two papers deal with parameter estimation problems. Though the list of papers is not extensive, as the field of NOE signal processing is very new, the book has an excellent collection of both tutorial and research papers in this exciting new field.

• algorithms
• artificial intelligence
• cognition
• construction
• image processing
• image segmentation
• intelligence
• knowledge
• knowledge base
• modeling
• pattern recognition
• proving
• complexity

• Electrical & Computer Engineering Department, Southeastern Massachusetts University, North Dartmouth, USA

  C. H. Chen

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