• DocumentCode
    2345542
  • Title

    The Research of Equipment Maintenance Management in Power Plant Based on Data Mining

  • Author

    Yang-Hao Wei ; Da-Shen Xue

  • Author_Institution
    Transp. & Manage. Dept., Dalian Maritime Univ., Dalian, China
  • fYear
    2015
  • fDate
    13-14 Feb. 2015
  • Firstpage
    543
  • Lastpage
    547
  • Abstract
    Equipment maintenance management task is not only the element task of management of a safety production, but also the guarantee of long-term reliable operation for a power generation enterprises. In this paper, aiming at the equipment maintenance management of power enterprises, selecting the feed water pump system as the research object and using the data mining to do the fault prediction of equipment, meanwhile this paper did some improvements of Apriori algorithm in association rules and also did some optimizations of database scanning and connection with pruning. Finally testify the conclusion demonstrated by the paper.
  • Keywords
    data mining; database management systems; fault diagnosis; maintenance engineering; power apparatus; power engineering computing; power plants; pumps; apriori algorithm; association rules; data mining; database scanning optimization; equipment fault prediction; equipment maintenance management; feed water pump system; power generation enterprises; power plant; safety production management; Association rules; Feeds; Itemsets; Maintenance engineering; Power generation; Apriori Algorithm; Data Mining; Equipment Maintenance Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
  • Conference_Location
    Ghaziabad
  • Print_ISBN
    978-1-4799-6022-4
  • Type

    conf

  • DOI
    10.1109/CICT.2015.98
  • Filename
    7078762