• DocumentCode
    2314288
  • Title

    Design and building of data warehouse for steam turbine-generator set

  • Author

    Ou, Jian ; Sun, Cai-Xin ; Zhang, Bide

  • Author_Institution
    Key Lab. of High Voltage Eng. & Electr. New Technol., Chongqing Univ., China
  • fYear
    2004
  • fDate
    19-22 Sept. 2004
  • Firstpage
    12
  • Lastpage
    14
  • Abstract
    Turbine generator set is the key equipment in a power system. Keeping the turbine generator set working under safe and reliable condition as long as possible is a subject which draws much attention in engineering field and research field. Online monitoring is a means commonly used. Due to the long running time of an online monitoring system, a large amount of complete equipment information is gained that is very useful to condition-based maintenance and data mining of faults. Data warehouse technology, which is the core of turbine generator set diagnosis information memory and reading, is introduced in this paper. The method of design and building of a data warehouse applied to online monitoring and diagnosis is presented Also.
  • Keywords
    boilers; condition monitoring; data mining; data warehouses; electric machine analysis computing; maintenance engineering; power system faults; reliability; turbogenerators; condition-based maintenance; data mining; data warehouse design; information memory diagnosis; online monitoring; power system faults; steam turbine-generator; turbine generator core; turbine reliablity; turbine safety; Buildings; Condition monitoring; Data mining; Data warehouses; Design methodology; Power engineering and energy; Power generation; Power system reliability; Reliability engineering; Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on
  • ISSN
    1089-084X
  • Print_ISBN
    0-7803-8447-4
  • Type

    conf

  • DOI
    10.1109/ELINSL.2004.1380422
  • Filename
    1380422