DETECTION OF BROKEN ROTOR BAR FAULT IN THE SQUIRREL CAGE INDUCTION MOTOR USING WAVELET PACKET ANALYSIS

The carried out experiments on a 1.1-kW induction generator based test bench have proved that a technique based on variance and energy analysis of wavelet

To detect broken bars, measurements of stator voltages and currents are processed by an Extended Kalman Filter for the speed and rotor resistance

In this paper, a new combined fault diagnosis method that uses Wavelet Transform (WT), Principal Component Analysis (PCA) and Neural Networks (NN) is proposed

Abstract: The fault of broken rotor bars in a three-phase induction motor is diagnosed by using the wavelet Packet analysis. In this paper Daubechies wavelet is selected as the

Several published works are related to rotor bar failures in squirrel cage induction motors are based on machine current signature analysis [5].In this way fast

The principle adopted for the strategysuggested is based on monitoring of the average root meansquare (RMS) value of the stator current, which will beuseful as input data with the

Agarawal , “ Fault Diagnosis of Three Phase Induction Motor using Fuzzy Logic Controller and Sequence Analyzer”, MIT International Journal of Electrical and