Vol. 8 Issue 4
Year: 2015
Issue:Apr-Jun
Title:Bearing Fault Detection in PWM Inverter Fed Induction Motor Drives by Transformative Techniques
Author Name:Khadim Moin Siddiqui, Kuldeep Sahay and V. K. Giri
Synopsis:
Nowadays, the Squirrel Cage Induction Motor(SCIM) fed with PWM (Pulse Width Modulated) inverter is being extensively used in the industries to achieve variable speed for many applications. It provides greater advantages on cost and energy efficiency for varying speed applications as compared to other available industrial solutions. These kinds of drives are recently gathering enormous interest in the multi-megawatt industrial drive applications. In this paper, the bearing fault of the SCIM has been diagnosed in the transient condition as well as steady state conditions by advanced Digital Signal Processing(DSP) transformative techniques. The bearing fault has been diagnosed in the steady state condition by Fast Fourier Transform (FFT) algorithm and in the transient condition by time domain as well as wavelet transform. The results obtained by all three transformative techniques has been compared and it has been concluded that the wavelet transform is most suitable technique for early fault detection purpose. As a result, an early diagnosis of bearing fault is possible by wavelet transform and damage can be averted. Thus, industries can save money using this approach.
Year: 2015
Issue:Apr-Jun
Title:Bearing Fault Detection in PWM Inverter Fed Induction Motor Drives by Transformative Techniques
Author Name:Khadim Moin Siddiqui, Kuldeep Sahay and V. K. Giri
Synopsis:
Nowadays, the Squirrel Cage Induction Motor(SCIM) fed with PWM (Pulse Width Modulated) inverter is being extensively used in the industries to achieve variable speed for many applications. It provides greater advantages on cost and energy efficiency for varying speed applications as compared to other available industrial solutions. These kinds of drives are recently gathering enormous interest in the multi-megawatt industrial drive applications. In this paper, the bearing fault of the SCIM has been diagnosed in the transient condition as well as steady state conditions by advanced Digital Signal Processing(DSP) transformative techniques. The bearing fault has been diagnosed in the steady state condition by Fast Fourier Transform (FFT) algorithm and in the transient condition by time domain as well as wavelet transform. The results obtained by all three transformative techniques has been compared and it has been concluded that the wavelet transform is most suitable technique for early fault detection purpose. As a result, an early diagnosis of bearing fault is possible by wavelet transform and damage can be averted. Thus, industries can save money using this approach.
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