Authors : Salam J. Mohammed and Bassim M.H. Jassim
Abstract: Quick detection of a small initial fault is important in induction machine to prevent a consequent large fault. Thus, several strategies have been presented for detection and diagnosis of different types of induction motors faults. This study presents a model for an induction motor based on Coupled Circuit Approach (CCA). This model is used to simulate an inter turn stator faults and investigate new fault detection approach when an imbalance voltage source is considered. Unlike conventional detection and diagnoses approaches which adopt symmetrical components analysis or power decomposition technique to obtain the negative sequence component of stator current, the calculation of Current Space Vector Magnitude (CSVM) is adopted. The negative sequence component of stator current is reflected as a ripple in the CSVM with peak to peak ripple proportional to the inter-turn fault severity. Therefore, the required computation burden is reduced and the detection and diagnoses become faster. Based on the Simulink model, different simulation results are used to validate the proposal.
Salam J. Mohammed and Bassim M.H. Jassim, 2019. Inter-Turn Stator Winding Faults Diagnosis in Three-Phase Induction Motor Fed from Imbalanced Voltage Source. Journal of Engineering and Applied Sciences, 14: 7591-7598.