• DocumentCode
    3385957
  • Title

    Automated Vibration Analysis in Loaded Condition of Hydro Turbine Generator Sets

  • Author

    Yang, Xian ; Li, Zhaohui ; Hua, Junting ; Wu, Yuechao

  • Author_Institution
    Coll. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Vibration analysis can reveal rich health condition information of hydro turbine generator sets. And it is still performed by the experts manually through tests. Besides, the accuracy of the analysis results is affected due to lack of experts with rich experience and domain knowledge. And manual tests increase downtime of the units. To address these issues, an automated analysis approach in the loaded condition based on the operation condition association rules (OCARs) is presented. It simulates the analysis process of the experts and makes the process automated, like automated operation condition classification, automated operation performance indicators calculation, automated health condition assessment and automated fault analysis. And it has advantages in automated vibration performance degradation detection, fault analysis and operation laws discovery in normal operation of the units instead of tests. The approach has been applied successfully in the vibration analysis of the 22 units in Gezhouba Hydropower Plant. The application shows that it has good prospects.
  • Keywords
    condition monitoring; fault diagnosis; hydraulic turbines; hydroelectric generators; hydroelectric power stations; maintenance engineering; power generation faults; vibrations; Gezhouba hydropower plant; OCAR; automated fault analysis; automated health condition assessment; automated operation condition classification; automated operation performance indicator calculation; automated vibration analysis; automated vibration performance degradation detection; domain knowledge; hydroturbine generator sets; loaded condition; operation condition association rules; Degradation; Fault diagnosis; Generators; Hydraulic turbines; Monitoring; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307011
  • Filename
    6307011