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Journal of Applied Sciences
  Year: 2010 | Volume: 10 | Issue: 6 | Page No.: 471-478
DOI: 10.3923/jas.2010.471.478
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Broken Bars Detection in Squirrel Cage Induction Motors Using Wavelet Theory

M.R. Askari

Induction motors, especially squirrel cage motors, have an important role in industry. Their rotor or stator may be failed under stresses depending on their application and sometimes an unexpected motor failure in a manufacture production process may result in unexpected and unforeseen tripping. So, if the failure can be detected during its operation, there are some methods to prevent failure spread and also manufacture trip. This study aimed to model and simulate the squirrel cage induction motor at any operation condition such as healthy condition and broken bars failures in side of rotor, in order to achieve an algorithm for failure detection. So, in this study a new method base on Wavelet theory is used for failure detection. Finally, simulation and experimental results are compared. The results show that using wavelet transform can effectively be used to diagnose the broken bars in the motor.
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  •    Surface Wave Analysis Using Morlet Wavelet in Geotechnical Investigations
  •    Speed Control of Induction Motor Drives Using a New Robust Hybrid Model Reference Adaptive Controller
  •    Adaptative Variable Structure Control for an Online Tuning Direct Vector Controlled Induction Motor Drives
How to cite this article:

M.R. Askari , 2010. Broken Bars Detection in Squirrel Cage Induction Motors Using Wavelet Theory. Journal of Applied Sciences, 10: 471-478.

DOI: 10.3923/jas.2010.471.478






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