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Detection of Rotor Broken Bar of an Induction Motor using S-Transform


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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