This paper present the stator inter-turn short circuit fault detection in induction machine from current analysis using two techniques, such as fast Fourier transform (FFT), which utilize steady-state spectral components of quantities. The accuracy these techniques depends on load and speed discrete wavelet (DWT) witch considered an ideal tool for this purpose, due to its suitability signal whose frequency spectrum is variable time. So, it will study problem circuit. Simulation...

The vector control has been designed in order to achieve decoupled between rotor flux and electromagnetic torque. extended Kalman filter is a sensorless algorithm which allows estimating the state parameters speed of induction motor. This paper presents for motor drive. It consists field oriented used estimation. performances this are tested validated simulation experimental test bench Matlab/Simulink environment with Real-Time interface based on dSpace 1104.

This article presents an experimental comparative study of streamer currents propagating in mineral oil (MO), natural esters [olive (OO) and rapeseed (NE)], synthetic ester (SE, tetra-ester) under both positive negative lightning impulse voltages. Because the similarity shapes investigated liquids, it is difficult to differentiate between current signals corresponding each liquid. For that purpose, two techniques are used for analysis these signals. The first one fast Fourier transform (FFT)...

This paper deals with the mixed eccentricity fault detection in closed loop of induction motor driven by Field-Oriented Control. In this paper, order to analysis, unbalanced signals caused fault, two techniques are used for stator and quadratic currents component, such as FFT wavelet transform. The result obtained is more suitable emergency signal analysis. method effective stationary processing well non-stationary processing. Wavelet analysis was introduced overcome shortcomings Fourier

The aim of this paper is the diagnosis rotor fault squirrel cage induction motor controlled in sliding-mode (SMC). faulty identification case very difficult, due to action control loop Motor current signature analysis (MCSA) most widely used method for faults motors. This generally suffers from load disturbance, speed variation. A broken bar essentially leads an increase resistance motor. present a bars based on estimation using Extended Kalman filter (EKF) and spectrum stator current....

This paper presents a backstepping nonlinear control algorithm based on the field-oriented strategy of induction motor drive. The design IM is reduced model (dedicate for fault diagnosis) squirrel rotor cage in healthy state. Backstepping technique suggested obtaining good dynamic motion systems by replacing traditional PI controllers. will be verified through numerical simulation and Real-Time implementation using Matlab/Simulink environment with interface dSpace 1104.

This paper presents an advanced strategy combining fuzzy logic and artificial neural networks (ANNs) for direct torque control (DTC) broken-bar fault diagnosis in induction motors. More specifically, a fuzzy-based controller is used to simultaneously minimize the stator flux electromagnetic ripples. A switching table then proposed achieve interface inverter control. Besides, closed-loop detection based on Hilbert technique (HT) with discrete wavelet transform (DWT) ANNs proposed. The...

The present paper proposes a detection method of the broken rotor bar fault in an induction motor at low-speed operation. diagnosis is based first place, on Hilbert Transform (HT) that used to extract stator current envelope; then Discrete Wavelet (DWT) which processes previously produced signal. As such, calculation stored energy envelope levels allows determine severity fault. In this work, controlled very range and rated load via using sensorless Backstepping control. This nonlinear...

This paper presents a rotor bars fault diagnosis in low-speed for the induction motor drive. The backstepping algorithm is employed to preserve good control performance and avoid different uncertainties order have signals acquisition process. used technique detection discrete wavelet transforms which applied analyze stator phase current output signal of speed regulator. Furthermore, calculation energy stored each decomposition can evaluate effect fault. controls their been investigated...

This paper presents a sensorless nonlinear control for an induction motor drive. The strategy is based on backstepping in order to ensure high-performance and good dynamic different uncertainties external disturbance. Moreover, model reference adaptive system (MRAS) used rotor speed flux estimations; investigate algorithm by decreasing the cost of sensor. performances will be examined via numerical simulation validated through Hardware implementation using Matlab/Simulink with dSpace 1104...