• DocumentCode
    1769325
  • Title

    A case study of bearing condition monitoring using SPM

  • Author

    Ruifeng Yang ; Jianshe Kang ; Jinsong Zhao ; Jie Li ; Haiping Li

  • Author_Institution
    Mech. Eng. Coll., Shijiazhuang, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    695
  • Lastpage
    698
  • Abstract
    Bearings consist one of the most widely used industrial rotating machine elements, especially rolling bearings and journal bearings. The capability to detect fast, accurately and easily the existence and severity of bearing fault during operation is very important as an unexpected failure of machine can lead to significant economic losses. This paper mainly introduces an actual case study of bearing condition monitoring in industry. As an effective tool in inspection the bearing condition, shock pulse method (SPM) is utilized to monitor the bearings of test rig which includes an electric motor and a wind turbine. Through analysing the frequency spectrum derived from the SPM instrument, the faulty bearing is located accurately. The case study validates that SPM is quite effective for monitoring the bearings condition in industrial applications.
  • Keywords
    condition monitoring; fault diagnosis; rolling bearings; shock absorbers; SPM; bearing condition monitoring; bearing fault; electric motor; frequency spectrum; industrial rotating machine element; journal bearings; rolling bearings; shock pulse method; test rig; wind turbine; Electric shock; Instruments; Monitoring; Rolling bearings; Vibration measurement; Vibrations; Wind turbines; SPM; bearing condition monitoring; condition-based maintenance; fault diagnosis; frequency spectrum analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
  • Conference_Location
    Zhangiiaijie
  • Print_ISBN
    978-1-4799-7957-8
  • Type

    conf

  • DOI
    10.1109/PHM.2014.6988262
  • Filename
    6988262