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Case-based model selection for engineering diagnosis

Part of the Lecture Notes in Computer Science book series (LNAI,volume 1488)


This paper describes an approach to selecting appropriate causal models for engineering diagnosis. We have chosen a hybrid approach which is a combination of model composition and model reuse. Model composition permits reasoning with multiple models that contain explicit assumptions. Difficulties related to intractability during model composition are reduced by model reuse. We are currently validating and testing the system on full-scale civil engineering structures.


  • Diagnosis
  • case-based reasoning
  • model-based reasoning
  • compositional modelling
  • structural monitoring

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  • DOI: 10.1007/BFb0056326
  • Chapter length: 14 pages
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© 1998 Springer-Verlag Berlin Heidelberg

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Raphael, B., Smith, I. (1998). Case-based model selection for engineering diagnosis. In: Smyth, B., Cunningham, P. (eds) Advances in Case-Based Reasoning. EWCBR 1998. Lecture Notes in Computer Science, vol 1488. Springer, Berlin, Heidelberg.

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  • Print ISBN: 978-3-540-64990-8

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