NDTnet 1998 Aug, Vol.3 No.8

Abstract

In order to tackle the problem of efficient and reliable interpretation of heterogeneous NDT data an approach has been developed based on a combination of rule based and case based reasoning (Figure 1). Results for two NDT techniques have shown that the approach is providing a high level of automation in situations were data complexity is low. At the other end the system provides intuitive operator guidance in situations with high data complexity.

One of the problems tackled by the approach is automated detection and classification of a large number of different events originating from defects, construction elements, and noise sources. A very important aspect of the approach is that only limited a priori information of the construction and the expected defect indications is necessary. Furthermore fluctuations in experimental conditions can be handled. Also differences between calibration and real defect indications are tackled. In situations were damage rates are high and interference of indications occurs the approach is capable to analyse the signal in considerable detail and provide suggestions to the operator for classification of the event and further action.

Figure 1 Schematic view of the implemented approach

The effectiveness of the approach is demonstrated on two representative NDT techniques: interpretation of data acquired with an ultrasonic rail inspection system; interpretation of eddy-current data from heat-exchangers in the (petro-)chemical industry. The results show that it is possible to provide a high level of automation in combination with efficient operator support for highly variable NDT measurements where upto now use of automated interpretation software was only limited.

Abstract Source:
Book of Abstracts, 7th European Conference on Non-Destructive Testing, 26-29 May 1998, ISBN: 87-986898-0-00

Full-Text Source:
Proceedings of the 7th European Conference on Non-Destructive Testing, 26-29 May 1998, ISBN:

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