• DocumentCode
    3352162
  • Title

    Digitized Hydroelectric Generating Unit Under the Framework of ICMMS and Its Application

  • Author

    Yitao, C. ; Li Qing ; Fusheng, L. ; Li Zhaohui

  • Author_Institution
    Sch. of Mech. & Electr. Eng., Wuhan Univ. of Sci. & Eng., Wuhan
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The automation development degrees of control, maintenance and technical management which are the main three technical domains in hydropower industry are unbalanced. The research and development of the condition monitoring and fault diagnosis systems of Hydroelectric Generating Units (HGU) are ruleless and disorderly in nowadays. And the acquiring and using methods about expert knowledge have become the bottleneck of the development of fault diagnosis of HGU. In order to solving these problems, a new thought is brought forward in this paper: a Digitized Hydroelectric Generating Unit is constructed under the framework of Intelligent Control Maintenance and Management System(ICMMS); and then, the optimal measuring points located layout and some deep diagnosis knowledge are obtained from full-states simulation based on full- states models of DHGU; furthermore, the equipment performance detecting and fault diagnosing can be carried through. This method can improve the maintenance automation of HGU and the integrated automation degrees of hydropower enterprises. The configuration of DHGU and its modeling methods are described in detail. The practice of these methods is indicated it can be applied widely.
  • Keywords
    condition monitoring; fault diagnosis; hydroelectric generators; intelligent control; maintenance engineering; power generation control; automation development; condition monitoring; expert knowledge; fault diagnosis systems; haidigitized hydroelectric generating unit; hydropower industry; intelligent control maintenance system; intelligent control management system; maintenance automation; technical management; Automatic control; Automation; Condition monitoring; Electrical equipment industry; Fault diagnosis; Hydroelectric power generation; Industrial control; Intelligent control; Knowledge management; Research and development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918281
  • Filename
    4918281