Modelling and Wavelet Based Analysis of Stator Turn to Turn Fault in Induction Motor
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : Ramees Muhammed M K P
|DOI : 10.14445/22315381/IJETT-V44P233|
Ramees Muhammed M K P "Modelling and Wavelet Based Analysis of Stator Turn to Turn Fault in Induction Motor", International Journal of Engineering Trends and Technology (IJETT), V44(3),163-169 February 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
The aim of this paper is to present a new approach for stator phase to phase fault detection in induction machines. This new method uses the infinity Norm of wavelet coefficients, obtained from n¬-level decomposition of each phase current to identify stator phase to phase faults in induction machines. The proposed algorithm can operate independent of the loading conditions. For the analysis, a mathematical model is developed which is valid for steady state and transient conditions. The same has been simulated using MATLAB/SIMULINK software and tested for stator phase to phase fault. Simulation results are provided to support the research. The results prove that it can constitute a useful tool for stator phase to phase fault detection.
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Condition monitoring, induction motors, wavelet, modeling of induction motor, turn to turn fault.