Online Insulation Fault Detection of Stator Winding of Induction Motor based on a Non-Intrusive Impedance Extraction Technique

摘要

The induction motor has been widely used in a variety of industrial applications and is usually critical to the safe and reliable operation of the entire system. Since the insulation faults of the stator winding have accounted for a large proportion of faults in various induction motors, the technique to detect the early-stage insulation faults of the stator winding will be very useful as a timely maintenance scheme can be conducted for preventing the faults proliferation, thereby, reducing the safety risks, motor downtime, and the cost from maintenance and downtime. Therefore, this paper describes an online stator winding insulation faults detection method based on a non-intrusive impedance extraction technique. Experimental results show that the proposed method has the ability to detect the early-stage insulation faults of the stator winding before a catastrophic failure occurs with a simple onsite implementation and low safety hazards.