Artificial Intelligence as an Approach to Improve Ultrasonic Log Scanning

  • Wei Han
  • Rolf Birkeland
Part of the Acoustical Imaging book series (ACIM, volume 20)


Scanning of logs for optimum material utilization becomes more and more important in wood industry. Ultrasound tomography seems to be a good solution to log scanning because of its capability of scrutinizing a log both externally and internally or the external geometry and the internal defects. However, the substantial computations and the complex tomogram translation make the industrial application difficult. This paper presents principles of applying artificial intelligence (AI) to ultrasonic scanning for the purpose of improving scanning efficiency. The presentation involves the integration of AI in signal acquisition and treatment, and defect computation. The AI functions involved include learning, knowledge-based reasoning, fuzziness handling and neural network application. An intelligent ultrasonic system is introduced to illustrate the principles discussed. The results given by the illustrating system indicate that the combination of ultrasound and AI opens up a promising future for a practical log scanning solution.


Ultrasound AI log scanning 


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Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • Wei Han
    • 1
  • Rolf Birkeland
    • 1
  1. 1.The Norwegian Institute of Wood TechnologyOslo 3Norway

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