Author:
Amanuel Thomas,Ghirmay Amanuel,Ghebremeskel Huruy,Ghebrehiwet Robel,Bahlibi Weldekidan
Abstract
This research article focuses on industrial applications to demonstrate the characterization of current and vibration analysis to diagnose the induction motor drive problems. Generally, the induction motor faults are detected by monitoring the current and proposed fine-tuned vibration frequency method. The stator short circuit fault, broken rotor bar fault, air gap eccentricity, and bearing fault are the common faults that occur in an induction motor. The detection process of the proposed method is based on sidebands around the supply frequency in the stator current signal and vibration. Moreover, it is very challenging to diagnose the problem that occur due to the complex electromagnetic and mechanical characteristics of an induction motor with vibration measures. The design of an accurate model to measure vibration and stator current is analyzed in this research article. The proposed method is showing how efficiently the root cause of the problem can be diagnosed by using the combination of current and vibration monitoring method. The proposed model is developed for induction motor and its circuit environment in MATLAB is verified to perform an accurate detection and diagnosis of motor fault parameters. All stator faults are turned to turn fault; further, the rotor-broken bar and eccentricity are structured in each test. The output response (torque and stator current) is simulated by using a modified winding procedure (MWP) approach by tuning the winding geometrical parameter. The proposed model in MATLAB Simulink environment is highly symmetrical, which can easily detect the signal component in fault frequencies that occur due to a slight variation and improper motor installation. Finally, this research article compares the other existing methods with proposed method.
Publisher
Inventive Research Organization
Reference30 articles.
1. [1] Refaat, S.S., Abu-Rub, H., Saad, M.S., Aboul-Zahab, E.M., Iqbal, A., "Detection, diagnoses and discrimination of stator turn-to-turn fault and unbalanced supply voltage fault for three-phase induction motors," Power and Energy (PECon), 2012 IEEE International Conference on 2-5 Dec. 2012, pp.910-915.
2. [2] Mehala, Neelam, and Ratna Dahiya. "Motor current signature analysis and its applications in induction motor fault diagnosis." International journal of systems applications, engineering & development vol.2, no. 1, pp.29-35, 2007.
3. [3] Dash, Sourabh, and Venkat Venkatasubramanian. "Challenges in the industrial applications of fault diagnostic systems." Computers & Chemical Engineering, 24.2 (2000): pp. 785-791.
4. [4] M. Kathiravan and K. Prakasam, "Motor current signature analysis based Fault diagnosis of induction motor", International Journal of Power Control and Computation(IJPCSC), vol. 6, no. 2, pp. 56-62, Jan-March 2014.
5. [5] Ielyzaveta Chernyavskal and OndĜej Vítek, "Analysis of Broken Rotor Bar Fault in a SquirrelCage Induction Motor by Means of Stator Current and Stray Flux Measurement", International Power Electronics and Motion Control Conference, 24 November 2016.
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