<p>The induction motor is considered the workhorse of the
industry as it is used in most of the engineering applications. It is essential
to ensure a safe and reliable operation of the induction motor in every system.
Among the various types of induction motor faults, stator winding insulation
fault accounts for a high percentage of it. As such, being able to detect early
stages of insulation faults within the equipment using the method proposed in
this paper would prove to be useful in providing timely maintenance. The proposed method in this paper is the non-intrusive
impedance extraction method for online stator winding fault detection of
induction motor. By observing the health condition of the motor in relation
with its impedance, early stages of faults can be detected and rectified. Hence, eliminating potential safety hazards, reducing motor
downtime as well as lowering the cost of maintenance. Experimental results
shown will prove the reliability and accuracy in which the method proposed
would provide. At the same time, its installation and removal are less
complicated as compared to other methods hence is cost and time efficient.<b></b></p>
Stator Winding Fault Detection and Classification in Three-Phase Induction Motor
