• DocumentCode
    3041764
  • Title

    An Analysis Approach for Condition Monitoring and Fault Diagnosis in Pantograph-Catenary System

  • Author

    Karakose, Ebru ; Gencoglu, Muhsin Tunay

  • Author_Institution
    Dept. of Electr.-Electron. Eng., Firat Univ., Elazg, Turkey
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    1963
  • Lastpage
    1968
  • Abstract
    High-speed trains have a great importance for long distances. The electrical energy for trains must be continuous and uninterrupted. So, the interaction and the mechanical contact between the pantograph and the catenary must be complete. Periodic condition monitoring, fault detection and pre-estimation are extremely important in the electrical railway systems. Therefore, in this study, a condition monitoring and fault diagnosis approach for pantograph-catenary system is proposed with improved model, control and analysis methods. There are two main aims of the study. The first is a regular monitoring of the system to determine whether any failure is occur. The second is to reveal the status of fault occurrence in the future. For this purpose, the contact point analysis between the pantograph strip and the catenary is performed. The most wearied points of the pantograph strip are defined by the method of condition monitoring.
  • Keywords
    condition monitoring; electric locomotives; failure analysis; fault diagnosis; mechanical contact; pantographs; contact point analysis; electrical railway systems; fault detection; fault diagnosis; fault occurrence; high-speed trains; mechanical contact; pantograph catenary system; pantograph strip; periodic condition monitoring; Condition monitoring; Contacts; Force; Mathematical model; Rail transportation; Strips; Wires; catenary; condition monitoring; fault diagnosis; pantograpjh; wear;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.337
  • Filename
    6722090