Volume 6 Issue 4 September - November
2018
Research Paper
Sudhir Agrawal*, V. K. Giri **, A. N.
Tiwari***
* PhD Scholar, Department of
Electrical Engineering, Madan Mohan Malaviya University of Technology,
Gorakhpur, Uttar Pradesh, India.
** Director, Rajkiya Engineering
College, Sonbhadra, Uttar Pradesh, India.
*** Professor, Department of
Electrical Engineering, Madan Mohan Malaviya University of Technology,
Gorakhpur, Uttar Pradesh, India.
Agrawal, S., Giri, V. K., Tiwari, A.
N. (2018). Detection of Rotor Broken Bar of an Induction Motor using
S-Transform, i-manager's Journal on Circuits and Systems, 6(4),
31-37. https://doi.org/10.26634/jcir.6.4.15113
Abstract
Induction motors
are the one of the most important production machines of any industry around
the world. Therefore, the condition monitoring of induction motors is very
important for successful and profitable running of an industry. Broken rotor
bars are one of the critical health problems of any induction motor. To tackle
this, application of Stockwell- Transform (ST) is presented in this paper. ST
has been applied on the simulated signal of rotor broken bar and the results
are compared with the Fast Fourier Transform method, which is a frequency
domain analysis method. Normally, frequency domain analysis fails to detect the
broken bar of the rotor if the severity of damage is low. The results obtained
by applying ST confirms that the ST transform is able to detect the breakage of
rotor bar better if the damage level is small.
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