• DocumentCode
    138967
  • Title

    Hybrid methodology utilizing Weibull function and Yager´s Combination Rule for power transformer health ranking

  • Author

    Rahman, M. R. Abdul

  • Author_Institution
    Smart Grid Unit, TNB Res. Sdn. Bhd., Kajang, Malaysia
  • fYear
    2014
  • fDate
    24-25 March 2014
  • Firstpage
    514
  • Lastpage
    519
  • Abstract
    The objective of this research is to improve the ranking of the power transformer condition based on their severity which will then facilitate the maintenance engineer to prioritize maintenance work on more critical transformer. It describes a hybrid methodology to fuse power transformer condition´s evidence by using Weibull function and Yager Combination Rule. Field transformer data were collected and mathematical algorithms were developed to model degree of belief assigned to power transformer condition´s propositions. The ranking of the power transformers based on this methodology is compared with the ranking of power transformer by single evidence. Different sets of failed transformers data were collected to evaluate this approach. Finally, we demonstrate the interpretation of power transformer condition based on Yager´s combination rule.
  • Keywords
    Weibull distribution; maintenance engineering; mathematical analysis; power transformers; Weibull function; Yager combination rule; failed transformers data; hybrid methodology; maintenance engineer; maintenance work; mathematical algorithms; power transformer condition; power transformer health ranking; Equations; Fault diagnosis; Gases; Mathematical model; Oil insulation; Power engineering; Power transformers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4799-2421-9
  • Type

    conf

  • DOI
    10.1109/PEOCO.2014.6814483
  • Filename
    6814483