Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/6507,
  title    = {Fault Detection of Broken Rotor Bars Using Stator Current Spectrum for the Direct Torque Control Induction Motor},
  author    = {Ridha Kechida and  Arezki Menacer and  Abdelhamid Benakcha},
  country   = {},
  institution={},
  abstract  = {The numerous qualities of squirrel cage induction
machines enhance their use in industry. However, various faults can
occur, such as stator short-circuits and rotor failures.
In this paper, we use a technique based on the spectral analysis of
stator current in order to detect the fault in the machine: broken rotor
bars. Thus, the number effect of the breaks has been highlighted. The
effect is highlighted by considering the machine controlled by the
Direct Torque Control (DTC). The key to fault detection is the
development of a simplified dynamic model of a squirrel cage
induction motor taking account the broken bars fault and the stator
current spectrum analysis (FFT).},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {4},
  number    = {6},
  year      = {2010},
  pages     = {988 - 993},
  ee        = {http://waset.org/publications/6507},
  url       = {http://waset.org/Publications?p=42},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 42, 2010},
}