• DocumentCode
    3241346
  • Title

    Study on the fault detection of railway signaling cable based on wavelet and virtual instrument

  • Author

    Hongwei, Li

  • Author_Institution
    Admission & Placement Office, Lanzhou Jiaotong Univ., Lanzhou, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    476
  • Lastpage
    479
  • Abstract
    As the laying of railway signaling cable is always concealed with complicated running environment, the fault diagnosis of railway signaling cable has much considerable difficulties as a rule. In order to realize the automatic fault location and automatic judgment of the fault characteristics for railway signaling cable, a method of automatic fault location is introduced in the paper. Based on the traditional testing methods with low voltage pulse reflectometry, the peripheral circuits have been designed by MCU and CPLD which are the key units. The multi-resolution analysis and modulus maxima theory of wavelet have been applied to the automatic fault position of railway signaling cable with the programming language LabVIEW to achieve the intelligent fault detection of railway signaling cable completely. Meanwhile, the results of field testing have shown the system meets the requirements and the methods are correct and effective.
  • Keywords
    fault diagnosis; railway engineering; signalling; virtual instrumentation; wavelet transforms; CPLD; MCU; automatic fault location; fault detection; fault diagnosis; modulus maxima theory; multiresolution analysis; programming language LabVIEW; railway signaling cable; virtual instrument; wavelet instrument; Circuit faults; Rail transportation; Random access memory; Reflection; Switches; cable; fault detection; railway signaling; virtual instrument; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014769
  • Filename
    6014769