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Classification of Events in Switch Machines Using Bayes, Fuzzy Logic System and Neural Network

  • Eduardo Aguiar
  • Fernando Nogueira
  • Renan Amaral
  • Diego Fabri
  • Sérgio Rossignoli
  • José Geraldo Ferreira
  • Marley Vellasco
  • Ricardo Tanscheit
  • Moisés Ribeiro
  • Pedro Vellasco
Part of the Communications in Computer and Information Science book series (CCIS, volume 459)

Abstract

The Railroad Switch denotes a set of parts in concordance with two lines in order to allow the passage of railway vehicles from one line to another. The Switch Machines are equipments used for handling Railroad Switches. Among all possible defects that can occur in a electromechanical Switch Machine, this work emphasizes the three main ones: the defect related to lack of lubrication, the defect related to lack of adjustment and the defect related to some component of Switch Machine. In addition, this work includes the normal operation of these equipments. The proposal in question makes use of real data provided by a company of the railway sector. Observing these four events, it is proposed the use of Signal Processing and Computational Intelligence techniques to classify the mentioned events, generating benefits that will be discussed and thus providing solutions for the company to reach the top of operational excellence.

Keywords

Classification Switch Machine Bayes Fuzzy Logic System Neural Networks 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Eduardo Aguiar
    • 1
  • Fernando Nogueira
    • 1
  • Renan Amaral
    • 1
  • Diego Fabri
    • 2
  • Sérgio Rossignoli
    • 2
  • José Geraldo Ferreira
    • 2
  • Marley Vellasco
    • 3
  • Ricardo Tanscheit
    • 3
  • Moisés Ribeiro
    • 1
  • Pedro Vellasco
    • 4
  1. 1.Industrial and Mechanical Engineering Department and Electrical Engineering Post-Graduation Program, Juiz de Fora/MGFederal University of Juiz de ForaBrazil
  2. 2.MRS Logística S.A., Juiz de Fora/MGBrazil
  3. 3.Electrical Engineering DepartmentPontifical Catholic University of Rio de JaneiroRio de JaneiroBrazil
  4. 4.Civil Engineering DepartmentState University of Rio de JaneiroRio de JaneiroBrazil

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