• DocumentCode
    3020847
  • Title

    The combination method for dependent evidence and its application for simultaneous faults diagnosis

  • Author

    Jiang, Hai-na ; Xu, Xiao-bin ; Wen, Cheng-lin

  • Author_Institution
    Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    496
  • Lastpage
    501
  • Abstract
    This paper provides a method based on Dezert-Smarandache theory (DSmT) for simultaneous faults diagnosis when evidence is dependent. Firstly, according to the characteristics of simultaneous faults, a frame of discernment is given for both single fault and simultaneous faults diagnosis, the DSmT combination rule applicable to simultaneous faults diagnosis is introduced. Secondly, the dependence of original evidence is classified according to three main factors in information acquisition and extraction, a method for evidence decorrelation is provided. On the other hand, the weights for measuring evidence credibility are given to modify independent evidence based on generalized ambiguity measure. Next, DSmT combination rule is used to aggregate the modified evidence. Finally, an example of rotor faults diagnosis is given to illustrate effectiveness of the proposed method.
  • Keywords
    case-based reasoning; fault diagnosis; Dezert-Smarandache theory combination rule; combination method; dependent evidence; evidence decorrelation; generalized ambiguity measure; information acquisition; information extraction; rotor faults diagnosis; simultaneous faults diagnosis; Aggregates; Decorrelation; Fault diagnosis; Information processing; Intelligent sensors; Pattern analysis; Pattern recognition; Sensor phenomena and characterization; Wavelet analysis; Weight measurement; Basic probability assignment; DSmT; Dependent evidence; Membership function; Simultaneous faults diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3728-3
  • Electronic_ISBN
    978-1-4244-3729-0
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2009.5207476
  • Filename
    5207476