The paper deals with the application of the Extended Kalman Filter and the Extended Luenberger Observer algorithms for the stator and rotor fault detection of the induction motor fed by PWM inverter. The induction motor conditions are analyzed using estimated rotor and stator-winding resistance. Mathematical models of the extended state estimators are presented, in which the stator and rotor re...

The detection of broken rotor bars in three-phase squirrel cage induction motors by means of current signature analysis is presented. In order to diagnose faults, a Neural Network approach is used. At first the data of different rotor faults are achieved. The effects of different rotor faults on current spectrum, in comparison with other fault conditions, are investigated via calculating Power ...

This paper presents some analysis techniques of the voltages induced in the stator windings after supply disconnection, to detect broken rotor bars in induction motor (IM). When the motor is disconnected from the supply voltage, the broken bars cause a distortion of the magnetomotive force generated by rotor windings, and some particular harmonics induced in the stator windings increase their a...

The induction motor is one of the most used electric machines in the industry because of its strong and simplicity. This paper investigates the performance of conventional techniques such as sideband analysis in detecting broken rotor bars when the motor is fed from a common pulse width modulation voltage source inverter PWM‐VSI drive for variable speed drives. The phase current signals are obt...

Three phase Squirrel Cage Induction Motors (SCIM) are continuously subjected to electrical, thermal, mechanical and environmental stresses in any industrial application. Such stresses can result in rotor bar damage. Due to such faults an unsymmetrical magnetic field will be setup and can lead to reduction in developed torque, increase in speed fluctuations, noise and vibrations. The present wor...

Detection and identification of induction machine faults through the stator current signal using higher order spectra analysis is presented. This technique is known as motor current signature analysis (MCSA). This paper proposes two higher order spectra techniques, namely the power spectrum and the slices of bi-spectrum used for the analysis of induction machine stator current leading to the de...