Title :
Mechanical Load Fault Detection in Induction Motors by Stator Current Time-Frequency Analysis
Author :
Blödt, Martin ; Chabert, Marie ; Regnier, Jérémi ; Faucher, Jean
Author_Institution :
Lab. d´´Electrotech. et d´´Electron. Ind., CNRS, Toulouse
Abstract :
This paper examines the detection of mechanical faults in induction motors by an original use of stator current time-frequency analysis. Mechanical faults lead generally to periodic load torque oscillations. The influence of the torque oscillations on the induction motor stator current is studied using an analytical approach. The mechanical fault results in a sinusoidal phase modulation of the stator current, which is equivalent to a time-varying frequency. Based on these assumptions, several signal processing methods suitable for stator current signature analysis are discussed: classical spectral analysis, instantaneous frequency estimation, and the Wigner distribution. Experimental and simulation results validate the theoretical approach in steady-state operating conditions
Keywords :
Wigner distribution; fault diagnosis; frequency estimation; induction motors; spectral analysis; stators; time-frequency analysis; Wigner distribution; classical spectral analysis; current signature analysis; fault detection; induction motors; instantaneous frequency estimation; mechanical faults; mechanical load; periodic load torque oscillations; sinusoidal phase modulation; stator current; time-frequency analysis; time-varying frequency; Fault detection; Frequency estimation; Induction motors; Phase modulation; Signal analysis; Signal processing; Spectral analysis; Stators; Time frequency analysis; Torque; Induction motor fault diagnosis; load unbalance; mechanical fault; time-frequency analysis; torque oscillations;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2006.882631