This paper proposes the use of the Teager–Kaiser energy operator (TKEO) for the detection of a broken rotor bar (BRB) in a squirrel cage induction generator, which is used usually in wind energy systems. The TKEO is investigated using the non-stationary signals representation in the time/frequency domain by sensing the estimation of the instantaneous amplitudes and frequencies present on the st...

Winding function method (WFM) provides a detailed and rather simple analytical modeling and simulation technique for analyzing performance of faulty squirrel-cage induction motors (SCIMs). Such analysis is mainly applicable for designing on-line fault diagnosis techniques. In this paper, WFM is extended to include variable degree of magnetic saturation by applying an appropriate air gap functio...

For this representation to capture all of the categories mentioned above sometimes requires the use of auxiliary state. For example, consider the fault by which the wire is stuck-at-low-voltage. In this case, the correct behavior of the wire is represented by using an auxiliary boolean variable broken and the program action: out != in ∧ ¬broken → out := in . If a fault occurs, the incorrect beh...

In this paper, a prototype wavelet and probabilistic based neural network classifier for recognizing rotor bar defects is implemented and tested under various transient signals. The wavelet transform (WT) technique is integrated with the neural network model to extract rotor fault features. Firstly, the multiresolution analysis technique of WT and the particle swarm optimization (PSO) theorem 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...

The use of the Wavelet Transform for the diagnosis of electrical machines has been widely studied. The present paper explains the main four general approaches in which the Startup Current (SC) of an Squirrel Cage Induction Motor is analyzed using the Wavelet Transform, in order to detect bar breakages: to generate the scalogram of the SC, to calculate the wavelet ridges, to calculate the DWT co...

Motors are the higher energy-conversion devices that consume around 40% of global electrical generated energy. Induction motors most popular motor type due to their reliability, robustness, and low cost. Therefore, both condition monitoring fault diagnosis induction faults have motivated considerable research efforts. In this paper, a comprehensive review recent techniques proposed in literatur...

This study proposes a broken rotor bar (BRB) fault diagnosis method for an induction motor using the sum of weighted Fourier series coefficients squares complex current as signal. First, confirms very narrow band-pass filter characteristics to derive specific frequency component. assists us in obtaining BRB signal that exists limited range. Second, magnitude is proportional slip and load condit...