• DocumentCode
    1731296
  • Title

    Remote monitoring and fault diagnosis system for power transformer based on HMM

  • Author

    Suxiang, Qian ; Hongsheng, Hu ; Jian, Cao ; Gongbiao, Yan

  • Author_Institution
    Jiaxing Univ., Jiaxing
  • fYear
    2007
  • Abstract
    This paper aims at large-scale power transformer, introduces Hidden Markov Models theory into power transformer fault diagnosis field, and a fault diagnosis method using the HMM is put forward. Some issues and their settling methods about the HMM applying into power transformer brings are further analyzed. The fault diagnosis principle bases on the HMM is discussed in detail. The power transformer faults are classified and each of their characteristic variables is determined, accordingly, the fault diagnosis model library for power transformer is researched. Finally, the fault diagnosis system for large-scale power transformer is designed.
  • Keywords
    hidden Markov models; power system measurement; power transformers; HMM; Hidden Markov models; fault diagnosis; large scale power transformer; remote monitoring; Educational institutions; Fault diagnosis; Hidden Markov models; Instruments; Large-scale systems; Pattern classification; Power system modeling; Power transformers; Probability; Remote monitoring; Fault diagnosis; HMM; Power transformer; Remote monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1136-8
  • Electronic_ISBN
    978-1-4244-1136-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2007.4350982
  • Filename
    4350982