• DocumentCode
    552472
  • Title

    Electrical equipment fault monitoring system based on temperature change information fusion technology

  • Author

    Li, Wei ; Song, Xue-ling ; Li, Yong-wei

  • Author_Institution
    Coll. of Electr. Eng. & Inf. Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    1
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    10
  • Lastpage
    14
  • Abstract
    Fault diagnosis is an important method to ensure the normal operation of electrical equipment. In order to reflect the operational status of electrical equipment from many ways and realize the automatic recognition and accurate diagnosis of electrical equipment failure modes, it is proposed a fault diagnosis method based on information fusion technology. In this paper, on the basis of multi-source information fusion technology, a new multi-source information fault diagnosis method combining D-S evidence theory and fuzzy mathematics is put forward.
  • Keywords
    fault diagnosis; fuzzy set theory; power system measurement; power system protection; D-S evidence theory; automatic recognition; electrical equipment fault monitoring system; fault diagnosis; fuzzy mathematics; multisource information fusion technology; operational status; temperature change information fusion technology; Cybernetics; Fault diagnosis; Machine learning; Monitoring; Temperature measurement; Temperature sensors; D-S evidence theory; Information fusion; fuzzy mathematics; technology fault diagnosis; temperature detect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016717
  • Filename
    6016717