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Abductive signal interpretation for nondestructive evaluation

  • Author(s): O'Rorke, Paul
  • Morris, Steven
  • et al.
Abstract

This paper reports on one aspect of a collaborative project exploring applications of AI to Nondestructive Evaluation (NDE). The goal of NDE is to determine whether parts under evaluation are "good" or "defective" without damaging the parts. Piezoelectric probes are often used to produce ultrasonic signals that indicate the existence of cracks and other defects inside solid materials. This paper shows how knowledge-intensive explanatory reasoning can be used to construct an interpretation of the signals, simultaneously classifying the material under evaluation.

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