High sensitivity detection of the stator short-circuit faults in induction motor using Hilbert Park’s Vector Product

Abstract

In this paper, a new approach for induction motor diagnosis, which called: Hilbert Park’s Vector Product Approach (HPVPA), is proposed, this processes offers unprecedented a high sensitivity in case of stator faults. In order to highlight the effectiveness of this method, this paper included with an important comparison between the proposed method and the proposed techniques in the recently research works; such as: Motor Square Current Signature Analysis (MSCSA), Park's Vector Square Modulus (PVSM), Park’s Vector Product Approach (PVPA), Park-Hilbert “P-H” ( PVSMP-H) and the classical method: Motor Current Signature Analysis (MCSA). The proposed approach bases on three essential steps: firstly, the Hilbert transform of the three phases currents will be aplicated, and then their instantaneous amplitudes will be extracted. Secondly, their current Park's vector components will be reduced. Finally, we apply the mathematical product of its two current Park’s vector components is applicated.