Synthesis and analysis of fuzzy diagnostic systems for railway bridges

  • Authors:

  • Jiří Krupka;Petr Rudolf;Jaroslav Menčík

  • Affiliations:

  • Faculty of Economics and Administration, Institute of System Engineering and Informatics, University of Pardubice, Pardubice, Czech Republic;Jan Perner Transport Faculty, Department of Mechanics, Materials and Machine Parts, University of Pardubice, Pardubice, Czech Republic and Railway Infrastructure Administration, Directorate, Pragu ...;Jan Perner Transport Faculty, Department of Mechanics, Materials and Machine Parts, University of Pardubice, Pardubice, Czech Republic

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2010

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Abstract

This paper deals with the use of fuzzy logic for building of classification models for the technical condition evaluation of bridge objects, both their superstructure and substructure. The proposed models have hierarchical architecture, built of the Mamdani's fuzzy inference systems. The models were validated on a data set of real bridges in operation. In the modelling process, the analysis of bridge rating methods in the Czech Republic and abroad was applied. The analysis of the number and shapes of input and output membership functions of given fuzzy sets was carried out, and the numbers of fuzzy inference rules were determined. On the basis of the achieved results, the utility of the presented method of soft computing in the evaluation of the bridge technical conditions was proved.