Diagnosis of Stator Inter-Turn Fault in PWM Inverter Fed Induction Motor by Advanced DSP Technique

Khadim Moin Siddiqui*, Kuldeep Sahay **, V. K. Giri***
* Associate Professor & HOD, Department of Electrical Engineering, Guru Nanak Institute of Engineering and Management, Hoshiarpur,Punjab, India.
** Professor & HOD, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, U.P., India.
*** Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India.
Periodicity:January - March'2019
DOI : https://doi.org/10.26634/jee.12.3.14892

Abstract

Presently, induction motor adjustable speed drives are being popular in the industrial applications and replacing existing techniques such as Direct Current (DC) motors and Silicon Controlled Rectifiers (SCR) bridges. In this paper, the induction motor's stator inter-turn fault has been diagnosed by advanced Digital Signal Processing (DSP) technique. The Wavelet Transform (WT) algorithm is applied for stator winding fault diagnosis purpose in the transitory period. The wavelet transform's approximation signal is chosen for stator inter-turn fault diagnosis purpose for variable load effectively. The obtained results by WT technique demonstrated that the early fault detection is possible and prevented the machine before reach in the disastrous conditions. Therefore, millions of dollars may be saved for industries and unexpected shutdown.

Keywords

Squirrel Cage Induction Motor, Pulse Width Modulation Inverter, Direct Torque Control, Motor Current Signature Analysis, Time-frequency Domain Analysis, Wavelet Transform, Stator Fault Detection and Identification.

How to Cite this Article?

Siddiqui , K., M., Sahay, K., & Giri, V., K. (2019). Diagnosis of Stator Inter-Turn Fault in PWM Inverter Fed Induction Motor by Advanced DSP Technique i-manager’s Journal on Electrical Engineering, 12(3), 9-20. https://doi.org/10.26634/jee.12.3.14892

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