The performance of an Indirect Rotor Field-Oriented Control (IRFOC) scheme for Induction Motors (IMs) is strongly dependent on the motor parameters especially, rotor resistance. As such, to ensure high performance drive system, the variation of the rotor resistance due to the temperature increase need to be estimated based on the available terminal variables. However, the algorithm used to esti...

The wind turbine converts the wind energy into electrical energy, wherein the electrical machines are coupled with wind turbines for this conversion. The electrical machines are liable to meet with faults, but to regain the system reliability the faults should be detected earlier. According to studies of electrical power research institute (EPRI) most of the faults in electrical motors are crea...

This paper describes a new Artificial Neural Network (ANN) based digital differential protection scheme for generator stator winding protection. The scheme includes two Feedforward Neural Networks (FNNs). One ANN is used for fault detection and the other is used for internal fault classification. This design uses current samples from the line-side and the neutral-end in addition to samples from...

In the paper, an analysis is made of the stator current sensor fault detector based on artificial neural network for vector controlled induction motor drive system. The systems with different learning algorithms and structures are analyzed and tested in different drive conditions. Simulation results are ob-tained in direct torque control algorithm (DTC-SVM) and performed in MATLAB/SimPowerSyste...

The paper aims to investigate the use of the Finite Element Method for electrical and mechanical faults detection in three-phase squirrel cage, induction machines. The features of Finite Element Method are significant, which consider the physical mapping of stator winding and rotor bar distribution. Therefore, modeling of the faults in stator winding, rotor bars and air-gap eccentricity will be...

In the paper the influence of the chosen sensors faults (rotor speed and stator current sensors) to the properties of vector controlled induction motor drive system are tested. Faults detection algorithms based on the simple signals from internal control structure are developed. The simulation tests carried out in Matlab/SimPowerSystem software. The proposed solution can be successfully applied...

The aim of this paper is to develop an intelligent diagnosis method for fault detection and isolation in induction motors. We consider failures in three components of induction motor: bearing, stator winding and rotor winding. Firstly, a model-based nonlinear observer in the proposed method is designed based on available information. The fault detection decision is carried out by comparing the ...

This paper presents the application of neural networks for the non-differential protection of salient-pole synchronous generator against internal faults in any winding of the stator. The direct phase quantities and modified winding function approach has been used to simulate different types of internal and external faults using electrical parameters of generators installed by utilities. The cas...

For asynchronous machines, 20% of the failures are due to the rotor [1] and particularly the end-ring fault of cage motors. Studies [2,4] have shown that a rotor fault generates flux harmonics which induce in term of harmonics in the stator currents. So, the analysis of the torque which is the product of these two quantities, must give a better information on the faults. In this paper a new tec...

Abstract—In the present paper, five electric current based methods to analyze electric faults on the stator of induction motors (IM) are used and compared. The analysis tries to extend the application of the multiple reference frames diagnosis technique. An eccentricity indicator is presented to improve the application of the Park’s Vector Approach technique. Most of the fault indicators are va...