The number of research studies have shown that the fault in the stator or rotor generally show sideband frequencies around the mains frequency (50Hz) and it higher harmonics in the spectrum of the Motor Current Signature Analysis (MCSA). However in the present experimental studies such observations have not seen, but any fault either in the stator or the rotor may distort the sinusoidal respons...

Based on the disadvantages of the original LMD algorithm in terms of smoothing method and end effect, this paper puts forward a fault diagnosis method of rotor system based on the improved LMD and singular value decomposition. The PF (Product function) component obtained after applying the improved LMD method is able to separate the aliasing modes while maintaining the natures and features of t...

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 ...

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...

This paper deals with the finite element analysis of a specific fault of the squirrel cage induction motors consisting in rotor bars breaking. Several variants of rotor bar faults are studied, using both quasi-static and transient magnetic field analyses. The numerical results in the reference case of healthy motor are experimentally validated by laboratory measurements.

This paper proposed an approach of mechanical failure information extraction and recognition in the early fault state variables, combined with the principal component analysis algorithm with FCM algorithm. Principal component analysis algorithm to get the characteristic value of data sets carries enough about fault in the time domain. Then FCM algorithm is used to analysis model is established ...

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...

In this paper, transient behaviours of the Doubly Fed Induction Generator using Simulink model is demonstrated. A mathematical model based on d-q transformation i.e. stator phase currents, rotor currents, stator flux linkages,rotor flux linkages ,instantaneous power electromagnetic torque is also presented. In this paper 9 MW wind farm consisting of six 1.5 MW wind turbines connected to a 25 kV...

In this paper, the effects of induction motor rotor faults on the current and voltage of motor are studied through motor current signature analysis. This technique utilizes the results of spectral analysis of the stator current. The distortion of current waveform is generally very minute due to fault of induction motor so it is very difficult. In this paper, power spectrum of motor is taken to ...

This paper proposes a new method, based on the analysis of the active and reactive powers of the induction motor, for the diagnosis of rotor faults in motors coupled to time-varying loads. This new method is able to discriminate the presence of a true rotor fault from a time-varying load and can be used even when both the fault and the load torque variation coexist. A theoretical analysis compl...