Automated Interpretation for Ultrasonic NDT Data
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Begun in 1973, the Review of Progress in Quantitative Nondestructive Evaluation (QNDE) is the premier international NDE meeting designed to provide an interface between research and early engineering through the presentation of current ideas and results focused on facilitating a rapid transfer to engineering development.
This site provides free, public access to papers presented at the annual QNDE conference between 1983 and 1999, and abstracts for papers presented at the conference since 2001.
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Abstract
Classification and sizing of suspect indications within ultrasonic data can be a complex, time consuming task. An expert system [1], modelled on NDT interpreters’ knowledge and method of inference, has been designed to perform automated classification and sizing of indications extracted from 3D ultrasonic images. Consequently, a range of segmentation algorithms has been evaluated to isolate suspect indications. The techniques currently under investigation include histogram thresholding, co-occurrence matrix analysis and morphological techniques. The expert system, written in CLIPS (‘C’ Language Integrated Production System), can be modified by the system operator using a Windows based dialog editing facility to add new rules and edit existing rules. The system can therefore be tailored to a particular inspection situation.