• DocumentCode
    3581037
  • Title

    Graphics model analysis for the grid equipment condition-based maintenance

  • Author

    Long Zhou ; Wentao Li ; Long Zeng ; Canbing Li

  • Author_Institution
    Inf. Dept., China Southern Power Grid, Guangzhou, China
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Condition-based maintenance technology plays a significant role in improving the equipment maintenance efficiency and reducing the equipment failure rate. Graphics model analysis is the basic technology for implementing condition-based maintenance. In this paper, based on graphics model analysis for the grid equipment condition-based maintenance, the ideas, methods and issues about carrying out condition-based maintenance technology in the grid enterprises were discussed. The use of graphics model analysis could contribute to the centralized analysis of equipment condition data, equipment condition evaluation, and equipment defect diagnosis, which would provide strategies for differentiated equipment operation and maintenance, and support for the equipment lifecycle management. In this paper, structures and functions of graphics model analysis were described and analyzed, and the results showed graphics model analysis was of great importance to the grid equipment condition-based maintenance.
  • Keywords
    condition monitoring; data visualisation; electrical maintenance; power apparatus; power engineering computing; power grids; power system management; equipment condition data; equipment condition evaluation; equipment defect diagnosis; equipment maintenance; graphics model analysis; grid equipment condition ased maintenance; Analytical models; Computational modeling; Data models; Graphics; Maintenance engineering; Monitoring; Smart grids; Condition-based maintenance; Evaluation and assessment; Graphics model analysis; Grid equipment; Lifecycle management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2014.7066053
  • Filename
    7066053