Abstract
Inter-turn short circuits and broken bars are serious faults, being of the most potentially destructive electrical faults in electrical motors. If these faults are not detected on-time, it can quickly expand and generate serious damage and even full damage to the motor. The objective of this paper is the modeling, diagnosis and detection of broken bar faults and inter-turn short circuit faults in Open End Winding Induction Motor (OEW-IM) based on Motor Current Signature Analysis (MCSA) method by the Fast Fourier Transform (FFT). The analysis and fault signature of the machine is performed in a healthy and defective condition in the event of the inter-turn short-circuit fault and broken rotor bars fault. The motor performance is tested under load torque and with different faulty conditions: one in a healthy condition, the second with one inter-turn short-circuits and the third with broken bars. The obtained results presents an importance of the proposed method that can be used for accurate fault detection of electrical motors.
Published Version
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