• DocumentCode
    2554299
  • Title

    Application of variable precision rough set in bearing fault diagnosis

  • Author

    Yueling, Zhao ; Yingli, Wang ; Yanqiu, Wang ; Lifeng, Mei

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Liaoning Univ. of Technol., Jinzhou
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    606
  • Lastpage
    609
  • Abstract
    Rough set theory for the lack of the adaptability of noise fault data, the fault diagnosis method based on variable precision rough set theory (VPRS) is proposed. The threshold value of discernibility set is selected. The sensitive of rough set theory to noise data is advoided. The accuracy of fault rules and accuracy rate of fault diagnosis are improved. The availability of this method is proved by a fault diagnosis example of the bearings.
  • Keywords
    fault diagnosis; machine bearings; rough set theory; discernibility set; fault diagnosis method; machine bearing; noise fault data; variable precision rough set theory; Data engineering; Educational institutions; Fault diagnosis; Information science; Petrochemicals; Set theory; Fault Diagnosis; Quality of Classification; Threshold Value; VPRS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597385
  • Filename
    4597385