Autonomous detection of interturn stator faults in induction motors

The development of non-invasive and more reliable diagnostics techniques for detecting faults in electrical motors is still an on-going process. Motor current signature analysis (MCSA) is a most commonly used technique for detecting faults due its non-invasive quality. The challenge arises when accurately detecting slip dependent fault characteristic components under different loading conditions in absence of speed information. Non-intrusive sensor-less speed estimation technique using MCSA has been developed in literature. This technique is employed in this paper to compute speed thus slip in an attempt to track the inter-turn fault component autonomously under different loading conditions and different operating frequencies. This offers the possibility of incorporating this technique to inverter-fed in future.