• DocumentCode
    1677717
  • Title

    Flexible and Smart Online Monitoring and Fault Diagnosis System for Rotating Machinery

  • Author

    Zhang, Pinting ; Yang, Tao ; Li, Jianlan ; Huang, Shuhong

  • Author_Institution
    Sch. of Energy & Power Eng., Huazhong Univ. of Sci. & Tech., Wuhan, China
  • fYear
    2012
  • Firstpage
    343
  • Lastpage
    347
  • Abstract
    Monitoring the vibration signals of rotating machinery, ulteriorly, assessing the safety of equipment plays a significant role in ensuring the security of equipment and in saving maintenance fee. This paper integrated the idea of "configuration" in the industry control software, developed the "flexible" network-based online monitoring and fault diagnosis system. The network topology, configuration module, database, data acquisition workstation and monitoring components were presented. With the smart data acquisition strategy and strong adaptive monitoring tools, the system can be applied on kinds of rotating machinery, and the practical application of the system was introduced.
  • Keywords
    condition monitoring; control engineering computing; data acquisition; fault diagnosis; mechanical engineering computing; network topology; turbomachinery; vibrations; adaptive monitoring tools; data acquisition workstation; equipment maintenance; equipment safety assessment; equipment security; fault diagnosis system; flexible smart network-based online monitoring; industry control software; network topology; rotating machinery; smart data acquisition strategy; vibration signals monitoring; Data acquisition; Databases; Fault diagnosis; Machinery; Maintenance engineering; Monitoring; Turbines; configuration; flexible system; online monitor; rotating machinery; smart system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2012 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-1-4673-0458-0
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2012.88
  • Filename
    6178486