Fault Diagnosis Olinduction Motor Using Motor Current Signature Analysis

Recently, research has picked up a fervent pace in the area of fault diagnosis of electrical machines. Computer simulation of electric motor operation is particularly useful gaining an insight into their dynamic behavior and electromechanical interaction. A suitable model enables motor faults to be simulated and the change in corresponding parameters to be predicted without physical experimentation. This paper deals with a gIobaI method enabling the simulation of the squirrel cage induction machines under rotor and stator faults. This method is based on the coupled magnetic circuit theory. All self and mutual inductances of the circuit can be caIculated using winding function theory. The proposed model is used to simulate the transient and steady state analysis of a healthy motor and a motor under stator, rotor, and mixed faults. This model gives the current spectrum analysis which is useful for diagnosis of stator and rotor faults using Motor Current Signature Analysis (MCSA) which is a non-invasive fault diagnosis technique [1].