Fuzzy diagnostic system for railway bridges

  • Authors:

  • Petr Rudolf;Jaroslav Mencik;Jiri Krupka

  • Affiliations:

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

  • Venue:
  • CIMMACS'09 Proceedings of the 8th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper deals with the use of fuzzy logic for building of classification models of 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 amounts and shapes of input and output membership functions of given fuzzy sets was carried out, 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.