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Diagnosis of interturn short-circuit fault in induction motors

Diagnosis of interturn short-circuit fault in induction motors

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Motor current signature analysis (MCSA) is one of the most powerful methods of online motor diagnosis for detecting motor faults. MCSA technique in case of cage rotor induction motors means the analysis of stator-line current spectrum obtained by applying Fourier transform to the stator current waveform in steady-state conditions. The stator-line current frequency spectrum represents, a sort of speaking, an electrocardiogram of an electrical machine. This technique is particularly useful because it is noninvasive, and the search coil is the stator winding of the machine, itself. Using MCSA has advantages such as no estimation of motor parameters and the simplicity of current sensors and their installation.

Chapter Contents:

  • 10.1 Motor current signature analysis
  • 10.2 Healthy cage rotor induction motor
  • 10.2.1 MMF space harmonics
  • 10.2.2 Slot permeance harmonics
  • 10.2.3 Saturation permeance harmonics
  • 10.3 MCSA of an induction motor with interturn fault
  • 10.4 A review of interturn short-circuit fault detection techniques for induction motors
  • 10.5 MCSA of wound-rotor induction motor
  • References

Inspec keywords: Fourier transforms; stators; induction motors; fault diagnosis; rotors; coils

Other keywords: motor parameter estimation; cage rotor induction motor; electrocardiogram; interturn short-circuit fault diagnosis; stator machine winding; stator current waveform; steady-state conditions; motor current signature analysis; stator-line current frequency spectrum analysis; motor fault detection; current sensor; search coil; electrical machine; MCSA technique; Fourier transform; online motor diagnosis

Subjects: Asynchronous machines; Integral transforms

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