• DocumentCode
    3039677
  • Title

    On Diagnosis Prototype System for Motor Faults Based on Immune Model

  • Author

    Tian, Yuling

  • Author_Institution
    Comput. & Software Coll., Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    126
  • Lastpage
    129
  • Abstract
    In the fault diagnosis of motor, the early detection of incipient faults of components plays an important role. To support the detection of incipient and unknown faults, an immunology based Fault diagnosis prototype system was proposed. The immune system for fault diagnosis is comprised of innate immune layer and adaptive immune layer. In the system, innate immune layer directs recognition of known fault; Adaptive immune layer learns the incipient and unknown fault pattern. The simulation shows that a satisfying result can be acquired by using the layer computation model.
  • Keywords
    fault diagnosis; induction motors; particle swarm optimisation; adaptive immune layer; fault detection; fault diagnosis; motor; Adaptive systems; Artificial intelligence; Fault detection; Fault diagnosis; Immune system; Induction motors; Organisms; Protection; Prototypes; Torque; Artificial immune system; Motor fault diagnosis; Particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.38
  • Filename
    5208921