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Öğe The detection of rotor faults by using short time fourier transform [Kisa zamanli fourier dönüşümü kullanilarak rotor arizalarinin teşhisi](2007) Arabaci H.; Bilgin O.In this paper an experimental study detecting of rotor faults in three-phase squirrel cage induction motors by means of Short Time Fourier Transform (STFT) is presented. The frequency spectrum of motor line current is exploited for the detection. By obtaining a number of frequency spectrums from a current data with STFT and averaging these spectrums, faults are diagnosed instead of Fast Fourier Transform frequently applied at the detection of broken rotor faults in the literature. Five different faulted rotors are investigated. These faults are one bar with high resistance of the rotor, one broken bar of the rotor, two broken bars of the rotor, three broken bar of the rotor and broken end ring of the rotor. Artificial Neural Network is used for classification of faults. Test results show that this method increase the accuracy of the fault diagnose.Öğe The detection of rotor faults using artificial neural network [Yapay si?ni?r a?lari kullanarak rotor arizalarinin teşhi?si?](2006) Arabaci H.; Bilgin O.The detection of broken rotor bars in tree-phase squirrel cage induction motors by means of current signature analysis is presented. In order to diagnose faults, a Neural Network approach is used. At first the data of different rotor faults are achieved. The effects of different rotor faults on current spectrum, in comparison with other fault conditions, are investigated via calculating Power Spectrum Density (PSD). Training the Neural Network discern between "healthy" and "faulty" motor conditions by using experimental data in case of healthy and faulted motor. The test results clearly illustrate that the stator current signature can be used to diagnose faults of squirrel cage rotor. © 2006 IEEE.Öğe Effects of rotor faults in squirrel-cage induction motors on the torque-speed curve(2010) Arabaci H.; Bilgin O.This study presents analysis and effects of rotor faults in squirrel cage induction motor on the torque-speed curve. In the study, the used experimental data were obtained from 10 HP, 25 HP, 30 HP and 50HP submersible induction motors. The experiments were made during the motors start up under no-load condition. Torque and speed of the motors were sampled and saved for every starting. The motor speed was computed from these data by using Fast Fourier Transform (FFT) and Short Time Fourier Transform (STFT). The motor torque values were computed by using average of the torque data window which represents every STFT window. So, the speed- torque curve was occurred. In the experiments; (i) a rotor with one broken rotor bar, (ii) a rotor with two adjacent broken rotor bars, (iii) a rotor with three adjacent broken rotor bars, (iv) a rotor with a highly resistance rotor bar, (v) a rotor with a broken end-ring faults and (vi) healthy motor were used. Then the results were analyzed. The effects of rotor faults on the speed- torque curve were ranked according to size of the rotor faults. The study differentiates in two points from the literature. The first point is the method of obtaining of the torque-speed curve and the second point is rank of the faults effects according to size of the faults. Test results revealed that the size of the rotor fault is directly proportional to its effects on the curve. And broken end-ring fault was found to procedure similar effects to broken bar faults. ©2010 IEEE.Öğe Sensorless speed estimation by using rotor slot harmonics for squirrel cage induction motor(Springer Singapore, 2017) Arabaci H.[Abstract not Available]
