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    Item type:Publication,
    SVM-based stator fault diagnosis for induction motors using DQ0 voltage components
    (2010-10-01)
    Manop, Chalermchat
    ;
    Kinnares, Vijit
    ;
    Chunwiphat, Suphot
    This paper presents a new technique for diagnosis of stator winding shorted turns in three phase induction motors using support vector machine (SVM) as a classifier in conjunction with a voltage signature analysis as feature extraction. The proposed dqO voltage components related to three phase voltages are obtained by using Park's transformation. Unlike general dqO quantity, the required dq components are considered from only harmonics in a certain range resulted from the stator shorted turn fault whilst the required zero component is determined from the fundamental voltage excitation only. The procedure for finding the harmonic spectrum associated with the stator fault employs a FFT technique together with digital signal processing in order to enlarge such harmonics to be easily detected. The data of d, q and zero components will be used as the input features for a SVM classification and diagnosis. In order to confirm that the dqO voltage components could be used as quantity for identifying the stator fault, patterns of dqO voltage components in three-dimension are plotted. The obtained trajectories are obviously different depending on the severity of the shorted turn fault. In training and testing with a multiclass-SVM classification, the good accuracy is obtained under various load conditions for both healthy and stator fault conditions. The SVM classification performance of the proposed method has high accuracy greater than 98% comparable to other feature extraction processes such as a motor current signature method (MCSA) but the number of training data and features for the proposed technique are less. © 2010 ICIC International.
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    Item type:Publication,
    Stator faults detection based on the dq0 voltage components
    (2008-10-30)
    Manop, Chalermchat
    ;
    Kinnares, Vijit
    This paper presents the technique for detection of shorted turns in stator winding of induction motors. The strategy is based on the dq0 voltage components. The proposed technique determines dq components of time domain of harmonics obtained from Park transformation instead of the stator phase voltage. Zero component (0) is calculated from the fundamental voltage excitation only. In the testing, the supply is sinusoidal waveform and the motor must be star connected with floating neutral. From experimental results, pattern of dq0 voltage components in order to use for the stator faults detection is possible. ©2008 IEEE.
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    Item type:Publication,
    A low cost prototype for testing stator winding shorted turns in 3-phase induction motors
    (2005-12-01)
    Manop, Chalermchat
    ;
    Senavongse, Wongwit
    ;
    Kinnares, Vijit
    ;
    Tangsiriworakul, Chanwit
    This paper presents a prototype of stator winding shorted turns detector for three-phase induction motors. The focus condition is turn-to-turn short circuit, because this condition is the initial problem. The diagnosis technique is detectable from the voltage sum of the three instantaneous line to star-point voltage. In the testing, the supply is sinusoidal waveform and the motor must be star connected with floating neutral. Before diagnosis, this instrument will also determine the level of supply voltage imbalance, if it is over the limit, the test instrument will not diagnose shorted turns. From experimental results, 3-hp and 5-hp induction motors were used for testing this equipment which is capable of accurately identifying percentage of stator winding shorted turns. © 2005 IEEE.