• DocumentCode
    3069358
  • Title

    Fault Diagnosis System of Locomotive Axle´s Track Based on Virtual Instrument

  • Author

    Chao, Zhang ; Jing, Xu ; Lijuan, Shi

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Changchun Univ., Changchun, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    53
  • Lastpage
    56
  • Abstract
    Railway vehicle is usually working in hazardous environment. The operational status of axle, which is the railway vehicle´s main components to run, affects the safe operation of the railway vehicle directly. Over the years, the railway of our country has remained low equipment-rate, high using-rate and high intensity-transport. In addition, because of the need of the rapid development of economy, our country has raised the speed of the railway vehicle, which leads to the railway vehicle´s axle wearing and tearing seriously, the life shortened and accidents increasing significantly. So, it is very necessary and urgent to develop the detection system because axle is related to the safety of the railway vehicle. Compared with traditional instrument, the virtual instrument has characteristics of openness, easy using and high cost performance. It has already been widely used in detection systems at present. Based on LabVIEW which is a developing platform software of NI Company, the paper has designed a kind of fault diagnosis system on locomotive axle´s track.
  • Keywords
    axles; fault diagnosis; locomotives; railway engineering; railway safety; virtual instrumentation; LabVIEW; NI company; fault diagnosis system; locomotive axles track; railway vehicles safety; virtual instrument; Acoustic emission; Axles; Data acquisition; Instruments; Wavelet analysis; Wavelet transforms; acoustic emission; fault diagnosis; virtual instrument; wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.279
  • Filename
    5634722