• DocumentCode
    1769036
  • Title

    Engine fault diagnosis based on the weighted DS evidence theory

  • Author

    Zhuting Yao ; Hongxia Pan

  • Author_Institution
    Coll. of Mech. & Power Eng., North Univ. of China, Taiyuan, China
  • fYear
    2014
  • fDate
    7-8 Nov. 2014
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    Engine as a typical reciprocating power machinery, its complex structure determines its fault complexity and diversity, from the operating environment, system noise and sensor accuracy brings the uncertainties effect, results in accuracy rate lower of engine fault diagnosis, taking into account the limitations of traditional DS evidence theory, weighted DS evidence theory are studied. Finally, the engine as an example, setting engine fault diagnosis experimental system, finish data samples, extract character parameters, study weighted evidence theory, and test and analysis indicate the superiority of weighted DS evidence theory.
  • Keywords
    engines; fault diagnosis; inference mechanisms; mechanical engineering computing; uncertainty handling; Dempster-Shafer evidence theory; engine fault diagnosis; weighted DS evidence theory; Diesel engines; Educational institutions; Fault diagnosis; Indexes; Time-domain analysis; Vibrations; DS evidence theory; engine; weighted DS evidence theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on
  • Conference_Location
    Hiroshima
  • ISSN
    1883-3977
  • Print_ISBN
    978-1-4799-4771-3
  • Type

    conf

  • DOI
    10.1109/IWCIA.2014.6988110
  • Filename
    6988110