On Similarity in Case-Based Reasoning for Structural Health Monitoring

  • Authors:
  • Reinhard Stumptner;Bernhard Freudenthaler;Josef Küng

  • Affiliations:
  • FAW --- Institute for Applied Knowledge Processing, University of Linz, Linz, Austria 4040;FAW --- Institute for Applied Knowledge Processing, University of Linz, Linz, Austria 4040;FAW --- Institute for Applied Knowledge Processing, University of Linz, Linz, Austria 4040

  • Venue:
  • Computer Aided Systems Theory - EUROCAST 2009
  • Year:
  • 2009

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Abstract

This contribution deals with the importance of similarity in Case-based Reasoning and the application for problems in the field of Structural Health Monitoring. Case-based Reasoning and different methodologies for the retrieval of knowledge stored in a case base are presented. Furthermore, different approaches for object representation and applicable similarity measures including indexing techniques to reduce the number of required distance-calculations are introduced, particularly the M-tree approach. Finally, a prototype for a Case-based Decision Support System for Structural Health Monitoring is described.