Quality control is applied in manufacture process. The good condition of electrical machines can be obtained by using diagnostics. There are a lot of methods that can be used for diagnostics of electrical machines. In the literature, standard procedure are based on a study of electrical signals.

This work proposes, a novel automated practical implementation for non contiguous rotor side broken bars detection and diagnosis in induction motors. In this work process for detection and diagnosis of rotor side broken bars is there based on the spectral analysis via fast Fourier transform (FFT) and classification of the spectral response based on fuzzy controlled identifier. For the fault diagnosis objective, two features are choose from the spectrum of the stator current, one is the amplitude of the harmonics representing the broken bars defect 2sf (where s is the slip and f is the fundamental harmonics) and the second is the dc value. By using these obtained parameters a fuzzy identifier will there to identify the number of broken bars. For the designing of this fuzzy identifier these two parameters are used as inputs where the decision about the state of rotor will be made. once the successful implementation of the proposed system several tests have been performed for various motor and load conditions. The results of detection and diagnostic obtained from the developed system is found to be very prominent than the state of the art algorithms. The recognition and diagnosis efficiency of the proposed work is almost 100% in both the detection and diagnosis faces.