JIC_V4_N4_RP1
Approximation Signal: An Efficient Approach to Diagnose Induction Motor Faults in Inverter Fed Induction Motor Drives
Khadim Moin Siddiqui
Kuldeep Sahay
V.K. Giri
Journal on Instrumentation & Control Engineering
2321–1148
4
4
1
15
Squirrel Cage Induction Motor, Pulse Width Modulation Inverter, Motor Current Signature Analysis, Time-Frequency Domain Analysis, Wavelet Transform, Induction Motor Faults Detection and Identification
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.
August - October 2016
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