Application of double Park's vector approach for detection of inter-turn fault in induction motor

In this paper, the double Park's vector (DPV) approach is used for the detection of inter-turn fault. This technique is verified on a three phase squirrel cage induction motor (SCIM). Wherever the inter-turn fault occurs in the SCIM, the additional frequency components is introduced in stator phase current. Detection of the inter-turn fault is made possible by continuous monitoring Park's vector pattern of harmonic frequency and fundamental component of the stator phase currents using double Park's vector approach. This is a new technique which is, not yet been reported in the literature. In this analysis, the dominant harmonic and fundamental component from the three phase stator currents are extracted using FFT of stator currents. These harmonic and fundamental component of stator currents are converted into two phase quantity using Park's vector transformation and the Park's vector patterns are plotted. As both Park's vectors are monitored simultaneously, it is called double Park's vector. The Park's vector of the harmonic component is validated by the Park's vector of the fundamental component of stator currents.