• DocumentCode
    3629047
  • Title

    Model based fault detection and isolation for robot manipulators with M-ANFIS and NN

  • Author

    Tolga Yuksel;Abdullah Sezgin

  • Author_Institution
    Elektrik-Elektronik M?hendisli?i B?l?m?, Ondokuz Mayis ?niversitesi , Samsun, Turkey
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the growing technology fault detection and isolation became one of the interesting and important research areas in automatic control and signal processing. Besides specific missions like waste treatment in nuclear reactors or data collection in space and underwater missions, robots used in automation must be very reliable and this demand forced researchers to adapt available fault isolation studies to robotics. In this study a model based fault isolation system using ANFIS and NN is proposed.
  • Keywords
    "Robots","Mathematical model","Artificial neural networks","Fault detection","Legged locomotion","Computational modeling","Manipulators"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th
  • ISSN
    2165-0608
  • Print_ISBN
    978-1-4244-1998-2
  • Type

    conf

  • DOI
    10.1109/SIU.2008.4632566
  • Filename
    4632566