Abstract
Dutch Railways use a special train for the ultrasonic inspection of rails. The output of the ultrasonic scanning system installed on the train consists of echo images — so-called B-scans. The B-scans are classified according to the images of rail constructions, noise artefacts, and/or defects that they contain. Currently, at TNO Institute of Applied Physics a hybrid rule-based / case-based classification system is being built for the train. This paper describes the way the cases are represented and matched in the system, the way the case-base is organised, and the way the case retrieval is done. Interesting aspects of the system are: use of fuzzy membership functions for case matching, decision tree (C4.5) based top-level case-base organisation, and clustered bottom-level case-base organisation.
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© 1998 Springer-Verlag Berlin Heidelberg
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Jarmulak, J. (1998). Case-based classification of ultrasonic B-scans: Case-base organisation and case retrieval. In: Smyth, B., Cunningham, P. (eds) Advances in Case-Based Reasoning. EWCBR 1998. Lecture Notes in Computer Science, vol 1488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056325
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DOI: https://doi.org/10.1007/BFb0056325
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