• DocumentCode
    2050867
  • Title

    FPGA based real time fuzzy fault detection algorithm

  • Author

    Aydin, Ilhan ; Karakose, Mehmet ; Akin, Erhan

  • Author_Institution
    Comput. Eng. Dept., Firat Univ., Elazig, Turkey
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    389
  • Lastpage
    394
  • Abstract
    This paper presents a fast fuzzy algorithm, implemented using field-programmable gate array (FPGA) to detect the stator related faults in induction motors. Altera Cyclone III FPGA was employed for developing the proposed method. All coding of fuzzy algorithm was written using hardware description language (HDL) called very high speed integrated circuit description language (VHDL). Fuzzy system has three inputs and one output. The magnitudes of three phase current signals were given to the fuzzy system and stator related faults were detected. The validity of the proposed method was tested by experimental data set and was also compared to the results of MATLAB fuzzy logic toolbox. The experimental results show that the proposed method gives very efficient and reliable results for fault detection of induction motors.
  • Keywords
    fault location; field programmable gate arrays; fuzzy set theory; hardware description languages; induction motors; stators; very high speed integrated circuits; Altera Cyclone III FPGA; MATLAB fuzzy logic toolbox; VHDL; field-programmable gate array; hardware description language; induction motor; real time fuzzy fault detection algorithm; stator related fault; very high speed integrated circuit description language; Circuit faults; Clocks; Field programmable gate arrays; Fuzzy systems; Induction motors; Stators; Fuzzy logic; VHDL; fault detection and diagnosis; filed-programmable gate array (FPGA) implementation; induction motors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-7897-2
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2010.5686535
  • Filename
    5686535