Juggrapong Treetrong

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A number of research studies has shown that faults in a stator or rotor generally show sideband frequencies around the mains frequency (50 Hz) and at higher harmonics in the spectrum of the Motor Current Signature Analysis (MCSA). However in the present experimental studies such observations have not been seen, but any fault either in the stator or the(More)
This paper proposes a new scheme of induction motor parameter estimation using Genetic algorithm (GA) for condition monitoring. The flux linkage model and torque model of an induction motor is adapted to the estimation. The scheme is developed to obtain all the motor parameters: stator and rotor resistance, stator and rotor leaking reactance and magnetizing(More)
This paper presents parameter identification technique to quantify the faults in motor condition monitoring. Genetic Algorithm (GA) has been used as a key technique to estimate the motor parameters. The zero-sequence voltage equation for the stator has been used as a model to estimate motor stator parameters – the stator resistance and the stator leakage(More)
This paper proposes a method of fault analysis for induction motors. The method is based on frequency domain and time-frequency domain analysis. Extended Discrete-Furrier Transform or EDFT is a proposed technique of signal processing. The principle is that any fault either in the stator or the rotor may distort the sinusoidal response of the motor RPM and(More)
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