Approximation Signal: An Efficient Approach to Diagnose Induction Motor Faults in Inverter Fed Induction Motor Drives

Volume 4 Issue 4 August - October 2016

Research Paper

Approximation Signal: An Efficient Approach to Diagnose Induction Motor Faults in Inverter Fed Induction Motor Drives

Khadim Moin Siddiqui*, Kuldeep Sahay**, V. K. Giri***

* Teaching-cum Research Scholar, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, India.

** Professor, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, India.

*** Director, Government Rajkiya Engineering College, Sonbhadra, Uttar Pradesh, India.

Siddiqui, K.M., Sahay, K., and Giri, V.K. (2016). Approximation Signal: An Efficient Approach to Diagnose Induction Motor Faults in Inverter Fed Induction Motor Drives. i-manager’s Journal on Instrumentation and Control Engineering, 4(4), 1-15. https://doi.org/10.26634/jic.4.4.8228

Abstract

Nowadays, the inverter driven induction motor drives are being popular in the industries for variable speed applications and replacing existing techniques such as DC motors and thyristor bridges. In the present paper, a proposed dynamic simulation model is used to diagnose squirrel cage induction motor faults by wavelet transform's low frequency band approximation signal on the transient condition. The obtained results clearly demonstrate that the developed diagnostic technique may reliably separate healthy and faulty conditions of the motor in the transient conditions. Therefore, averted the motor faults before reaching in the disastrous condition and may save large revenues and unexpected shutdown for industries.